This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. A weakness is something a design doesn't do as well—an area where it could be improved. Often, designs have trade-offs: Design A might be better at one thing (like speed) while Design B is better at another thing (like control). By comparing test data across multiple criteria (speed, capacity, ease of use, space needed, cost, durability), we can identify what each design is good at and not good at. This helps us choose the right design for a specific situation or improve designs by addressing weaknesses. In this scenario, both designs solve the problem of watering plants without spilling, with Design A having 1 big hole and Design B having 5 small holes; the test data shows Design A waters 3 plants in 2 minutes but spills sometimes and puts water in one spot, while Design B takes 5 minutes, never spills, and spreads water. Choice A is correct because the data shows Design B takes 5 minutes compared to Design A's 2 minutes, so stating that Design B takes more time accurately identifies a weakness based on the speed criterion. Choice B represents a common error of reversing results between designs, which happens when students confuse which design has which performance, such as attributing spilling to Design B when the data shows it never spills while Design A does sometimes. To help students compare designs using test data: Model using comparison language—'Design A is better at [criterion] because [data], but Design B is better at [criterion] because [data].' Create comparison charts with rows for criteria and columns for each design's results. Practice identifying strengths: 'Look at this result—Design A holds 20 pencils. That's more than Design B's 15. So a strength of Design A is greater capacity.' Then identify corresponding weakness for the other design. Teach that trade-offs are normal: usually no design is best at everything. Use color coding: highlight Design A's strengths in one color, Design B's in another, to visualize trade-offs. Have students practice with the frame: 'Based on the data, Design [A/B] is good at [criterion supported by data] but not good at [criterion supported by data].' Watch for students who ignore data to state preferences, reverse results between designs, or claim one design is perfect when data shows weaknesses. Emphasize: use evidence from tests, not opinions.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. In this scenario, both designs solve the problem of carrying art supplies. The test data shows Design A is a light flexible bag where items mix together, while Design B is a hard case with compartments that keeps items organized and protected but is heavier. Choice C is correct because the data shows Design B has compartments that keep items organized and a hard case that protects items—both are strengths directly supported by the test results. Choice B represents confusing strengths with weaknesses, which happens when students see that Design A mixes items (a weakness of A) and incorrectly think this describes what Design B does. To help students compare designs using test data: Model clear thinking—'The data says Design B has compartments and keeps items organized. That's what it's good at!' Have students practice with the frame: 'Based on the data, Design B is good at organizing and protecting because it has compartments and a hard case.'

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. In this scenario, both designs solve the problem of organizing pencils on a desk. The test data shows Design A takes up less desk space (smaller footprint) while Design B takes up more desk space but holds more pencils (20 vs 15). Choice C is correct because the data shows Design A has a smaller footprint on the desk, meaning it uses less desk space—this is directly supported by the test results. Choice A represents confusing strengths with weaknesses, which happens when students see that Design A holds fewer pencils (15) and incorrectly identify this as what it's better at, when actually holding fewer is a weakness. To help students compare designs using test data: Model using comparison language—'Design A is better at saving space because it has a smaller footprint, but Design B is better at capacity because it holds 20 pencils.' Create comparison charts with rows for criteria and columns for each design's results.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A weakness is something a design doesn't do as well—an area where it could be improved. In this scenario, both designs solve the problem of organizing pencils on a desk. The test data shows Design A uses less desk space but holds only 15 pencils, while Design B takes up more desk space but holds 20 pencils and keeps them sorted. Choice B is correct because the data shows Design B has a larger footprint on the desk, meaning it takes up more desk space—this is a weakness when desk space is limited. Choice A represents confusing which design has which feature, which happens when students see the capacity numbers and incorrectly assign Design A's limitation (15 pencils) to Design B. To help students compare designs using test data: Model clear thinking—'Design B holds more pencils, which is good, but the data shows it takes up more desk space, which is its weakness.' Use color coding to highlight each design's weaknesses in red.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. Often, designs have trade-offs: Design A might be better at one thing (like speed) while Design B is better at another thing (like control). In this scenario, both designs solve the problem of watering plants. The test data shows Design A is faster but sometimes spills, while Design B is slower but never spills and spreads water evenly. Choice C is correct because the data explicitly states Design B 'never spills water'—this shows Design B has better control over the water flow compared to Design A which 'sometimes spills.' Choice A represents misreading which design has which feature, which happens when students confuse the test results between designs. To help students compare designs using test data: Focus on the specific criterion asked about (control). Model thinking: 'Control means not spilling. Design B never spills, so it has better control.' Practice matching criteria to data: 'If we want control, which design's data shows no spilling?'

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. In this scenario, both designs solve the problem of drying wet mittens. The test data shows Design A dries mittens slowly (90 minutes) but holds 10 pairs and saves table space, while Design B dries mittens faster (45 minutes) but holds only 5 pairs and takes more table space. Choice A is correct because the data shows Design B dries mittens in 45 minutes compared to Design A's 90 minutes—drying faster is clearly a strength of Design B. Choice B represents misreading which design has which feature, which happens when students see Design B holds fewer pairs (5 vs 10) and incorrectly identify this as a strength rather than a weakness. To help students compare designs using test data: Create comparison charts showing drying time for each design. Practice identifying strengths: 'Look at the drying time—Design B takes 45 minutes, Design A takes 90. So Design B's strength is drying faster.' Emphasize: use evidence from tests, not opinions.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. In this scenario, both designs solve the problem of holding books on a desk. The test data shows Design A allows quick book access but books sometimes tip over and it takes less desk space, while Design B keeps books stable (never tip) but makes access slower and takes more desk space. Choice C is correct because the data shows Design A provides 'quick access to books' which is faster than Design B's 'slower to grab books'—quick access is a clear strength of Design A. Choice B represents confusing the designs, which happens when students see that Design B keeps books from tipping and incorrectly attribute this strength to Design A. To help students compare designs using test data: Use comparison language—'Design A is better at quick access because the data says it's quick, but Design B is better at stability because books never tip.' Watch for students who reverse results between designs.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. A weakness is something a design doesn't do as well—an area where it could be improved. Often, designs have trade-offs: Design A might be better at one thing (like speed) while Design B is better at another thing (like control). By comparing test data across multiple criteria (speed, capacity, ease of use, space needed, cost, durability), we can identify what each design is good at and not good at. This helps us choose the right design for a specific situation or improve designs by addressing weaknesses. In this scenario, both designs solve the problem of keeping pencils organized, with Design A one cup and Design B a tray with sections; the test data shows Design A holds 15 pencils in small space but pencils mixed, while Design B holds 20 in bigger space with pencils sorted. Choice B is correct because the data supports Design A saves space (a strength) but holds fewer (implying B holds more as its strength), correctly comparing trade-offs in space and capacity. Choice D represents a common error of claiming one design is better without specifying the criterion or ignoring trade-offs, which happens when students overlook data showing weaknesses and state one is perfect despite evidence of limitations. To help students compare designs using test data: Model using comparison language—'Design A is better at [criterion] because [data], but Design B is better at [criterion] because [data].' Create comparison charts with rows for criteria and columns for each design's results. Practice identifying strengths: 'Look at this result—Design A holds 20 pencils. That's more than Design B's 15. So a strength of Design A is greater capacity.' Then identify corresponding weakness for the other design. Teach that trade-offs are normal: usually no design is best at everything. Use color coding: highlight Design A's strengths in one color, Design B's in another, to visualize trade-offs. Have students practice with the frame: 'Based on the data, Design [A/B] is good at [criterion supported by data] but not good at [criterion supported by data].' Watch for students who ignore data to state preferences, reverse results between designs, or claim one design is perfect when data shows weaknesses. Emphasize: use evidence from tests, not opinions.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. A weakness is something a design doesn't do as well—an area where it could be improved. Often, designs have trade-offs: Design A might be better at one thing (like speed) while Design B is better at another thing (like control). By comparing test data across multiple criteria (speed, capacity, ease of use, space needed, cost, durability), we can identify what each design is good at and not good at. This helps us choose the right design for a specific situation or improve designs by addressing weaknesses. In this scenario, both designs solve the problem of keeping pencils organized, with Design A being one cup and Design B a tray with sections; the test data shows Design A holds 15 pencils, uses small space, but pencils mix, while Design B holds 20 pencils, uses bigger space, and keeps pencils sorted. Choice B is correct because the data shows Design A uses small space, making it a strength in terms of using less desk space compared to Design B's bigger space. Choice A represents a common error of reversing results between designs, which happens when students mistakenly attribute a strength of one design to the other, such as claiming Design A holds more when the data shows it holds fewer (15 vs. 20). To help students compare designs using test data: Model using comparison language—'Design A is better at [criterion] because [data], but Design B is better at [criterion] because [data].' Create comparison charts with rows for criteria and columns for each design's results. Practice identifying strengths: 'Look at this result—Design A holds 20 pencils. That's more than Design B's 15. So a strength of Design A is greater capacity.' Then identify corresponding weakness for the other design. Teach that trade-offs are normal: usually no design is best at everything. Use color coding: highlight Design A's strengths in one color, Design B's in another, to visualize trade-offs. Have students practice with the frame: 'Based on the data, Design [A/B] is good at [criterion supported by data] but not good at [criterion supported by data].' Watch for students who ignore data to state preferences, reverse results between designs, or claim one design is perfect when data shows weaknesses. Emphasize: use evidence from tests, not opinions.

This question tests 2nd grade ability to compare test data and identify strengths and weaknesses of designs (NGSS K-2-ETS1-3: Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs). When we test two designs that solve the same problem, we collect data to compare how well each performs. A strength is something a design does well—an aspect where it performs successfully. A weakness is something a design doesn't do as well—an area where it could be improved. Often, designs have trade-offs: Design A might be better at one thing (like speed) while Design B is better at another thing (like control). By comparing test data across multiple criteria (speed, capacity, ease of use, space needed, cost, durability), we can identify what each design is good at and not good at. This helps us choose the right design for a specific situation or improve designs by addressing weaknesses. In this scenario, both designs solve the problem of carrying art supplies to the table, with Design A being a plastic bag with handles and Design B a box with dividers; the test data shows Design A is light but items can break if dropped and mix, while Design B is heavier but protects items and keeps them organized. Choice B is correct because the data shows Design B protects items (a strength) but is heavier (not good at being light), directly supporting this identification of good and not good aspects. Choice A represents a common error of reversing results between designs, which happens when students swap the attributes, such as claiming Design B is good at being light when the data indicates it is heavier compared to Design A. To help students compare designs using test data: Model using comparison language—'Design A is better at [criterion] because [data], but Design B is better at [criterion] because [data].' Create comparison charts with rows for criteria and columns for each design's results. Practice identifying strengths: 'Look at this result—Design A holds 20 pencils. That's more than Design B's 15. So a strength of Design A is greater capacity.' Then identify corresponding weakness for the other design. Teach that trade-offs are normal: usually no design is best at everything. Use color coding: highlight Design A's strengths in one color, Design B's in another, to visualize trade-offs. Have students practice with the frame: 'Based on the data, Design [A/B] is good at [criterion supported by data] but not good at [criterion supported by data].' Watch for students who ignore data to state preferences, reverse results between designs, or claim one design is perfect when data shows weaknesses. Emphasize: use evidence from tests, not opinions.