Elementary School Science Quiz: Collecting Design Test Data

20 questions · exam conditions

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Collecting Design Test DataQuestion 1 of 20

In the makerspace, Jamal and Sofia had a problem: books fell when carried. Design A was a flat board with no edges, and Design B had raised edges. To test both designs fairly, they put 3 books on each and walked 10 steps. They recorded the number of books that fell: A had 2 fall, B had 0 fall. Why did they test both designs the same way?

So the results are fair to compare for both designs.

So Design A can get extra practice time.

So they do not need to collect any data.

So the trays will look nicer in the end.

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Elementary School Science Quiz

Elementary School Science Quiz: Collecting Design Test Data

Practice Collecting Design Test Data in Elementary School Science with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Collecting Design Test Data, giving you a quick way to practice the rules, question types, and explanations that matter most for Elementary School Science.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

So the results are fair to compare for both designs. (correct answer)
So Design A can get extra practice time.
So they do not need to collect any data.
So the trays will look nicer in the end.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was books fell when carried. Two designs were created: Design A (flat board with no edges) and Design B (had raised edges). They tested both designs by putting 3 books on each and walking 10 steps. They collected data showing Design A - had 2 fall, Design B - had 0 fall. Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison. For example, testing both designs the same way makes the results fair to compare for both designs. Choice C represents skips testing. This error typically occurs when students don't understand need for same test for both designs. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 2

In science time, Maya and Marcus had a problem: a supply holder tipped over. Design A had a narrow base. Design B had a wide base. They tested both designs the same way by pushing gently on the side. They recorded yes/no results: A tipped (yes), B tipped (no). Why did they test both designs the same way?

So the results are fair and easy to compare. (correct answer)
So Design B can get extra help to win.
So they can skip writing down any data.
So they can change the push each time.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was supplies tipping over. Two designs were created: Design A (narrow base) and Design B (wide base). They tested both designs by pushing gently on each to see if it tipped. They collected data showing Design A - tipped over (yes), Design B - stayed standing (no). Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison. For example, the data they collected shows how each design performed on the same test. Choice B represents unfair test. This error typically occurs when students don't understand need for same test for both designs, think testing is just trying it once without recording data. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data.

Question 3

During engineering time, Carlos and Keisha had a problem: not enough space for all books. Design A was one shelf, and Design B was three shelves in the same space. They tested both designs the same way by adding books until full. They counted books: A held 8, B held 24. When they tested the designs, what data did they collect?

They counted how many books each shelf could hold. (correct answer)
They counted how many minutes it took to build shelves.
They used more books on Design B than Design A.
They chose the shelf they liked best without counting.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was not enough space for all books. Two designs were created: Design A (one shelf) and Design B (three shelves in the same space). They tested both designs by adding books until full. They collected data showing Design A - held 8, Design B - held 24. Choice A is correct because it accurately identifies data collected: states specific measurements/counts/observations from both designs. For example, they counted how many books each shelf could hold, which gives specific data (8 vs 24). Choice D represents opinion without data. This error typically occurs when students think testing is just trying it once without recording data. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 4

In engineering time, Yuki and Marcus had a problem: water spilled when pouring into a bottle. They made two funnel designs. Design A had a wide opening. Design B had a narrow opening. When they tested the designs, they poured 1 cup of water through each funnel into the same bottle. They collected data by measuring spilled water in tablespoons. Results: A spilled 2 tablespoons, B spilled 5 tablespoons. They wrote the numbers in a list. How did testing help them compare the designs?

It gave numbers for how much water spilled from each funnel. (correct answer)
It told which funnel had the nicest shape.
It helped them pick a funnel without pouring water.
It showed which student poured the fastest.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was water spilling when pouring into a bottle. Two designs were created: Design A had a wide opening and Design B had a narrow opening. They tested both designs by pouring 1 cup of water through each funnel into the same bottle. They collected data showing A spilled 2 tablespoons, B spilled 5 tablespoons. Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison; identifies data collected: states specific measurements from both designs. For example, it gave numbers for how much water spilled from each funnel, giving comparison data (2 vs 5). Choice B represents subjective only. This error typically occurs when students focus on materials or appearance instead of performance data, skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 5

In the classroom, Keisha and Carlos had a problem: a supply holder tipped over. They made two designs: Design A with a narrow base and Design B with a wide base. When they tested the designs, they did the same test: they pushed gently on the side one time. They collected data by observing yes/no if it tipped. Results: A tipped over (yes), B stayed standing (yes). They recorded the results in a small table. What did they observe during the tests?

They observed if each holder tipped over or stayed standing. (correct answer)
They observed which holder was the tallest.
They observed how many books fit inside the holder.
They observed only Design A and skipped Design B.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was a supply holder tipping over. Two designs were created: Design A with a narrow base and Design B with a wide base. They tested both designs by pushing gently on the side one time. They collected data showing A tipped over (yes), B stayed standing (yes). Choice A is correct because it accurately identifies data collected: states specific observations from both designs; describes fair testing: explains same procedure used for both. For example, they observed if each holder tipped over or stayed standing, giving specific data (yes vs yes, in context tip vs stay); they tested both with the same push, making it fair. Choice B represents irrelevant measurement. This error typically occurs when students think any measurement counts even if not related to problem, describe process but not results. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 6

At the science center, Sofia and Amir had a problem: they could not reach a high shelf. They built two platforms. Design A was a short box, 3 inches high. Design B was a tall box, 6 inches high. When they tested the designs, they did the same test each time: one student stood on the platform and reached up, then they measured the height reached with a tape measure. They collected data in inches. Results: Design A reached 48 inches, Design B reached 51 inches. They wrote the numbers in a list. What did they measure during the tests?

They measured how high they could reach on each box. (correct answer)
They measured how many stickers were on each box.
They measured only Design B because it was taller.
They measured how fast they could run past the shelf.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was not being able to reach a high shelf. Two designs were created: Design A was a short box, 3 inches high and Design B was a tall box, 6 inches high. They tested both designs by having one student stand on the platform and reach up, then measuring the height reached with a tape measure. They collected data showing Design A reached 48 inches, Design B reached 51 inches. Choice A is correct because it accurately identifies data collected: states specific measurements from both designs; describes fair testing: explains same procedure used for both. For example, they measured how high they could reach on each box, giving comparison data (48 inches vs 51 inches); they tested both by standing and measuring in the same way, making it fair. Choice B represents irrelevant measurement. This error typically occurs when students think any measurement counts even if not related to problem, describe process but not results. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 7

In the classroom, Emma and Jamal had a problem: not enough space for all the books. They built two shelf designs in the same space. Design A had one shelf. Design B had three shelves. When they tested the designs, they did the same test for both: they put in books one at a time until no more fit. They collected data by counting how many books fit. Results: Design A held 8 books, Design B held 24 books. They wrote the counts in a table. From the test results, what did they count?

They counted how many books fit on each shelf design. (correct answer)
They counted how many shelves were painted red.
They counted only the books on Design B.
They counted steps walked while holding the shelf.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was not enough space for all the books. Two designs were created: Design A had one shelf and Design B had three shelves. They tested both designs by putting in books one at a time until no more fit. They collected data showing Design A held 8 books, Design B held 24 books. Choice A is correct because it accurately identifies data collected: states specific counts from both designs; describes fair testing: explains same procedure used for both. For example, they counted how many books fit on each shelf design, giving specific data (8 vs 24); they tested both by adding books until full, making it fair. Choice B represents irrelevant measurement. This error typically occurs when students focus on materials or appearance instead of performance data, think any measurement counts even if not related to problem. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 8

In the classroom, Keisha and Carlos had a problem: they could not reach a high shelf. Design A was a short box, 3 inches high, and Design B was a tall box, 6 inches high. To test both designs the same way, Keisha stood on each box and reached up. Carlos measured how high she could reach each time. Results: A reached 48 inches, B reached 51 inches. Which data was collected from the tests?

They measured how high Keisha could reach on each box. (correct answer)
They measured how heavy each box felt to carry.
They guessed which box would work without measuring.
They used different rulers for A and B.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was they could not reach a high shelf. Two designs were created: Design A (short box, 3 inches high) and Design B (tall box, 6 inches high). They tested both designs by having Keisha stand on each box and reach up while Carlos measured how high she could reach. They collected data showing Design A - reached 48 inches, Design B - reached 51 inches. Choice A is correct because it accurately identifies data collected: states specific measurements/counts/observations from both designs. For example, they measured how high Keisha could reach using each platform, giving comparison data (48 inches vs 51 inches). Choice C represents skips testing. This error typically occurs when students skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 9

In the makerspace, Amir and Maya had a problem: a supply holder tipped over. Design A had a narrow base, and Design B had a wide base. To test both designs the same way, they pushed each holder gently one time from the side. They observed if it tipped over. Results: A tipped over (yes), B tipped over (no). What information does the data give about each design?

It tells if each holder tipped over or stayed standing. (correct answer)
It tells which color of holder looks best.
It tells how many students were watching the test.
It tells what glue they used to build each holder.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was a supply holder tipping over. Two designs were created: Design A (narrow base) and Design B (wide base). They tested both designs by pushing each holder gently one time from the side. They collected data showing Design A - tipped over (yes), Design B - stayed standing (no). Choice A is correct because it accurately identifies data collected: states specific measurements/counts/observations from both designs. For example, it tells if each holder tipped over or stayed standing, which gives specific data (yes vs no). Choice B represents subjective only. This error typically occurs when students focus on materials or appearance instead of performance data. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 10

At the science center, Marcus and Yuki had a problem: not enough space for books. Design A was one shelf, and Design B was three shelves in the same space. To test both designs fairly, they put in books one at a time until no more fit. They counted the total number of books each shelf held. Results: A held 8 books, B held 24 books. What did they count during the tests?

They counted how many books fit on each shelf. (correct answer)
They counted how many pencils were on the floor.
They counted only the books on Design B.
They counted how tall each student was.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was not enough space for books. Two designs were created: Design A (one shelf) and Design B (three shelves in the same space). They tested both designs by putting in books one at a time until no more fit. They collected data showing Design A - held 8 books, Design B - held 24 books. Choice A is correct because it accurately identifies data collected: states specific measurements/counts/observations from both designs. For example, they counted how many books fit on each shelf, which gives specific data (8 vs 24). Choice C represents single design only. This error typically occurs when students describe process but not results. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 11

In the science center, Yuki and Amir had a problem: a supply holder tipped over. Design A had a narrow base, and Design B had a wide base. They tested both by pushing each one gently from the side. They recorded yes/no results: A tipped (yes), B tipped (no). How did testing help them compare the designs?

It gave data about tipping for both designs. (correct answer)
It helped them pick their favorite name for a design.
It helped them use more tape on Design A.
It helped them skip testing and decide fast.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was a supply holder tipped over. Two designs were created: Design A (narrow base) and Design B (wide base). They tested both designs by pushing each one gently from the side. They collected data showing Design A - tipped (yes), Design B - tipped (no). Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison. For example, testing gave data about tipping for both designs, which allows comparison. Choice D represents skips testing. This error typically occurs when students skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 12

In the classroom, Emma and Chen had a problem: crayons got mixed with markers. They made two container designs. Design A was one big box with no dividers. Design B was a box with dividers. When they tested the designs, they used the same test for both: they put the same crayons and markers inside, closed the lid, and shook gently 5 times. They collected data by observing if the crayons and markers mixed or stayed apart. Results: Design A items mixed (yes), Design B items stayed separated (yes). They recorded yes/no in a chart. How did they test both designs fairly?

They shook both boxes the same number of times. (correct answer)
They shook Design A hard and Design B softly.
They only tested Design B because it had dividers.
They picked the box with the brightest color.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was crayons getting mixed with markers. Two designs were created: Design A was one big box with no dividers and Design B was a box with dividers. They tested both designs by putting the same crayons and markers inside, closing the lid, and shaking gently 5 times. They collected data showing Design A items mixed (yes), Design B items stayed separated (yes). Choice A is correct because it accurately describes fair testing: explains same procedure used for both; states purpose correctly: explains that testing provides evidence for comparison. For example, they shook both boxes the same number of times, making it fair; the data they collected shows how each design performed on the same test. Choice B represents unfair test. This error typically occurs when students don't understand need for same test for both designs, focus on materials or appearance instead of performance data. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 13

Sofia and Amir could not reach a high shelf. Design A was a 3-inch box. Design B was a 6-inch box. They tested both by standing on each box and measuring how high they could reach. They wrote the numbers in inches. Results: A reached 48 inches, B reached 51 inches. Which data was collected from the tests?

They measured how high they could reach on each box. (correct answer)
They counted how many crayons were in the room.
They said which box was their favorite color.
They used a different ruler for each box.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was can't reach shelf. Two designs were created: Design A was a 3-inch box and Design B was a 6-inch box. They tested both designs by standing on each box and measuring how high they could reach. They collected data showing Design A - reached 48 inches, Design B - reached 51 inches. Choice A is correct because it accurately identifies data collected: states specific measurements from both designs; describes fair testing: explains same procedure used for both. For example, they measured how high they could reach using each platform, giving comparison data (48 inches vs 51 inches); they tested both by standing on each and measuring with the same method, making it fair. Choice C represents error type: subjective only. This error typically occurs when students think testing is just trying it once without recording data, focus on appearance instead of performance data, skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 14

In engineering time, Maya and Jamal had a problem: books fell when carried. They made two tray designs to help. Design A was a flat board with no edges. Design B was a board with raised edges. When they tested the designs, they did the same test for both: they put 3 books on each tray and walked 10 steps. They collected data by counting how many books fell off each tray. Their results were: Design A had 2 books fall, and Design B had 0 books fall. They wrote the results in a simple table. What data did they collect from testing both designs?

They counted how many books fell from each tray. (correct answer)
They decided Design B looked nicer than Design A.
They used 3 books on A and 1 book on B.
They counted how many students watched the test.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was books falling when carried. Two designs were created: Design A was a flat board with no edges and Design B was a board with raised edges. They tested both designs by placing 3 books on each and walking 10 steps. They collected data showing Design A - 2 books fell, Design B - 0 books fell. Choice A is correct because it accurately identifies data collected: states specific counts from both designs; describes fair testing: explains same procedure used for both; states purpose correctly: explains that testing provides evidence for comparison. For example, they counted how many books fell from each tray design, which gives specific data (2 vs 0); they tested both by placing same number of books and walking same distance, making it fair. Choice B represents opinion without data. This error typically occurs when students confuse building with testing, think testing is just trying it once without recording data, don't understand need for same test for both designs, focus on materials or appearance instead of performance data, skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 15

During makerspace, Marcus and Yuki had a problem: water spilled when pouring into a bottle. They made two funnel designs. Design A had a wide opening. Design B had a narrow opening. When they tested the designs, they did the same test for both: they poured 1 cup of water through the funnel into the same bottle. They collected data by measuring how much water spilled in tablespoons. Results: Design A spilled 2 tablespoons, Design B spilled 5 tablespoons. They recorded the numbers in a table. Which data was collected from the tests?

They measured how many tablespoons of water spilled for each funnel. (correct answer)
They counted how many funnels were blue.
They poured 1 cup in A and 2 cups in B.
They said Design A was best without measuring anything.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was water spilling when pouring into a bottle. Two designs were created: Design A had a wide opening and Design B had a narrow opening. They tested both designs by pouring 1 cup of water through the funnel into the same bottle. They collected data showing Design A spilled 2 tablespoons, Design B spilled 5 tablespoons. Choice A is correct because it accurately identifies data collected: states specific measurements from both designs; describes fair testing: explains same procedure used for both. For example, they measured how many tablespoons of water spilled for each funnel, giving specific data (2 vs 5); they tested both by pouring the same amount of water, making it fair. Choice B represents irrelevant measurement. This error typically occurs when students focus on materials or appearance instead of performance data, think any measurement counts even if not related to problem. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 16

In engineering time, Carlos and Keisha had a problem: a supply holder tipped over. They made two designs. Design A had a narrow base. Design B had a wide base. When they tested the designs, they did the same test for both: they pushed gently on the side one time. They collected data by observing yes/no: did it tip over? Results: Design A tipped over (yes), Design B stayed standing (yes). They used checkmarks in a chart. What information does the data give about each design?

It tells if each holder tipped over or stayed up. (correct answer)
It tells which base color is the prettiest.
It tells how many pencils they own at home.
It tells how long it took to build each holder.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was a supply holder tipping over. Two designs were created: Design A had a narrow base and Design B had a wide base. They tested both designs by pushing gently on the side one time. They collected data showing Design A tipped over (yes), Design B stayed standing (yes). Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison; identifies data collected: states specific observations from both designs. For example, it tells if each holder tipped over or stayed up, giving comparison data (yes vs yes, but in context yes tip vs yes stay); the data they collected shows how each design performed on the same test. Choice B represents subjective only. This error typically occurs when students focus on materials or appearance instead of performance data, skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 17

At the science center, Chen and Sofia had a problem: books fell when carried. They made two tray designs. Design A was a flat board with no edges. Design B was a board with raised edges. When they tested the designs, they did the same test: they put 3 books on each tray and walked 10 steps. They collected data by counting how many books fell. Results: A had 2 books fall, B had 0 books fall. They used tally marks to record. Why did they test both designs the same way?

So the results are fair and easy to compare. (correct answer)
So Design A can win even if books fall.
So they do not need to collect any data.
So the trays can have different numbers of books.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was books falling when carried. Two designs were created: Design A was a flat board with no edges and Design B was a board with raised edges. They tested both designs by putting 3 books on each tray and walking 10 steps. They collected data showing A had 2 books fall, B had 0 books fall. Choice A is correct because it accurately states purpose correctly: explains that testing provides evidence for comparison; describes fair testing: explains same procedure used for both. For example, so the results are fair and easy to compare, as they used the same test for both designs. Choice B represents unfair test. This error typically occurs when students don't understand need for same test for both designs, skip data collection and jump to conclusions. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 18

Emma and Jamal had a supply holder that tipped over. Design A had a narrow base. Design B had a wide base. They tested both the same way by pushing each holder gently one time. They observed and recorded yes or no for tipping. Results: A tipped (yes), B tipped (no). How did they test both designs fairly?

They pushed both holders gently the same way. (correct answer)
They pushed A hard and did not push B.
They changed the base size during the test.
They tested only Design B and skipped A.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was supply holder tipping over. Two designs were created: Design A had a narrow base and Design B had a wide base. They tested both designs by pushing each holder gently one time. They collected data showing Design A - tipped (yes), Design B - tipped (no). Choice A is correct because it accurately describes fair testing: explains same procedure used for both; states purpose correctly: explains that testing provides evidence for comparison. For example, they pushed both holders gently the same way, making it fair; the data they collected shows how each design performed on the same test. Choice B represents error type: unfair test. This error typically occurs when students don't understand need for same test for both designs, focus on materials or appearance instead of performance data. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.

Question 19

During engineering time, Amir and Carlos had a problem: water spilled when pouring. Design A was a wide funnel. Design B was a narrow funnel. They did the same test for both: pour 1 cup of water into the same bottle. They measured spilled water: A spilled 2 tablespoons, B spilled 5 tablespoons. Which data was collected from the tests?

They measured how many tablespoons spilled for each funnel. (correct answer)
They measured how tall each student is.
They counted how many funnels they could draw.
They poured 1 cup for A and 2 cups for B.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was liquids spilling. Two designs were created: Design A (wide funnel) and Design B (narrow funnel). They tested both designs by pouring 1 cup water through each funnel. They collected data showing Design A - spilled 2 tablespoons, Design B - spilled 5 tablespoons. Choice A is correct because it accurately identifies data collected: states specific measurements/counts/observations from both designs. For example, they measured how many tablespoons spilled for each funnel, which gives specific data (2 vs 5). Choice B represents irrelevant measurement. This error typically occurs when students don't understand need for same test for both designs, think any measurement counts even if not related to problem. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data.

Question 20

In the makerspace, Emma and Sofia needed more space for books. Design A was one shelf. Design B was three shelves in the same space. They tested both by placing books until no more fit. They counted the books and recorded the numbers. Results: A holds 8 books, B holds 24 books. What did they count during the tests?

They counted how many books fit on each shelf design. (correct answer)
They counted how many shelves were painted blue.
They counted only the books on Design A.
They counted steps while walking past the shelves.

Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was needing more space for books. Two designs were created: Design A was one shelf and Design B was three shelves in the same space. They tested both designs by placing books until no more fit. They collected data showing Design A - holds 8 books, Design B - holds 24 books. Choice A is correct because it accurately identifies data collected: states specific counts from both designs; states purpose correctly: explains that testing provides evidence for comparison. For example, they counted how many books fit on each shelf design, giving specific data (8 vs 24); they tested both by placing books until full, making it fair. Choice C represents error type: single design only. This error typically occurs when students don't understand need for same test for both designs, think testing is just trying one without comparison. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.