SECTION 1
Why Do We Use Statistics and Probability?
People have been counting and measuring things for thousands of years. Ancient farmers needed to predict harvests. Sailors needed to guess the chance of a storm. Over time, thinkers developed tools called statistics (ways to summarize data) and probability (ways to measure chance). These tools help us make smarter decisions every day.
3000 BCE • Ancient Census Records
1654 • Birth of Probability
1800s • Statistics Goes Mainstream
Today • Data Everywhere
On the TACHS, you will see questions that give you data or a chance situation. Your job is to figure out what the numbers mean in the real-world story. Let's learn how to do that step by step.
SECTION 2
Core Ideas You Need to Know
Before you can interpret questions in context, you need a few building blocks. These are the key vocabulary words and ideas that appear again and again on data and probability problems.
Mean (Average)
Median
Mode
Range
Probability
KEY TAKEAWAY
SECTION 3
Seeing the Data: A Visual Guide
Let's look at a set of quiz scores for a small class and see how the mean, median, mode, and range appear on a diagram. Imagine seven students earned these scores: 70, 75, 80, 80, 85, 90, 100.
Notice that the mean is a little higher than the median. That is because the 100 pulls the mean up. When you see a question that asks, "Which measure best represents a typical score?" think about whether one really high or really low value is pulling the mean away from the center. In that case, the median might be a better choice.
SECTION 4
The Formulas You Need
You do not need to memorize complicated math. The formulas below use simple arithmetic. Let's walk through each one.
MEAN (AVERAGE)
Example: (70 + 75 + 80 + 80 + 85 + 90 + 100) ÷ 7 = 580 ÷ 7 ≈ 82.9
MEDIAN
If there is an even count, average the two middle numbers. For 7 values, the median is the 4th value.
RANGE
Example: 100 − 70 = 30. A larger range means the data is more spread out.
PROBABILITY
Example: If a bag has 3 red marbles and 7 blue marbles, P(red) = 3 ÷ 10 = 0.3, or 30%.
TIP FOR THE TACHS
SECTION 5
Types of Questions You Will See
TACHS data and probability questions usually fall into a few common patterns. The diagram below maps the question types and shows you what each one is really asking.
The most important skill is connecting the math to the story. A probability of 0.3 does not mean much by itself. But saying "there is about a 30% chance you pick a red marble" gives the number meaning. That is what "interpret in context" means.
SECTION 6
Step-by-Step Worked Example
A basketball player scored the following points in her last 6 games: 12, 18, 15, 22, 15, 20. Her coach says she averages about 17 points per game. Is the coach correct? Also, what is the probability that she scored more than 18 points in a randomly chosen game from these six?
Basketball Scoring Analysis
- 1
Step 1 — List the Data in Order
Write the scores from least to greatest: 12, 15, 15, 18, 20, 22.Ordered data: 12, 15, 15, 18, 20, 22 - 2
Step 2 — Find the Mean
Add all the scores: 12 + 15 + 15 + 18 + 20 + 22 = 102. Then divide by the number of games: 102 ÷ 6 = 17.Mean = 17 points per game - 3
Step 3 — Interpret the Mean in Context
The coach said she averages "about 17 points per game." The mean is exactly 17, so the coach is correct. In context, this means that if you spread her total points equally across all six games, each game would have 17 points.Coach's claim is correct. - 4
Step 4 — Find the Probability of Scoring More Than 18
Count the games where she scored more than 18. Those are 20 and 22 — that is 2 games. The total number of games is 6. So P(more than 18) = 2 ÷ 6 = 1/3.P(more than 18) = 1/3 ≈ 0.33, or about 33% - 5
Step 5 — Interpret the Probability in Context
If you randomly pick one of these six games, there is about a 33% chance she scored more than 18 points. That means roughly 1 out of every 3 games she had a high-scoring performance.About a 1-in-3 chance of a high-scoring game.
SECTION 7
When to Use Mean, Median, or Mode
Not every measure works equally well in every situation. Here is a comparison to help you decide which one to use when a question asks, "Which measure best represents the data?"
| Measure | Best When… | Watch Out For… |
|---|---|---|
| Mean | Data is fairly even with no extreme outliers. | One very high or very low value can pull the mean away from the center. |
| Median | Data has outliers or is skewed (like home prices or salaries). | It ignores how far apart the values are. Two data sets can have the same median but look very different. |
| Mode | You want to know the most popular or most common choice (like favorite color or shoe size). | Some data sets have no mode, and mode does not use all the values. |
| Range | You want a quick sense of how spread out the data is. | Range uses only two values (max and min). It does not tell you anything about the middle. |
Comparison of common statistical measures
KEY TAKEAWAY
SECTION 8
Connecting to More Advanced Ideas
The skills you are learning now are the foundation for more advanced topics in high school and beyond. Here is how the ideas you just studied connect to bigger concepts.
| What You Learn Now | Where It Leads |
|---|---|
| Mean, median, mode | In high school, you learn about standard deviation, which measures how far each value is from the mean. |
| Simple probability (favorable ÷ total) | In Algebra 2 and beyond, you study compound probability, where two or more events happen at the same time. |
| Reading bar charts and tables | In statistics class, you learn to read histograms, box-and-whisker plots, and scatter plots. |
| Interpreting in context | This skill is used in every science, social studies, and business course. It is one of the most important thinking skills you can develop. |
How current topics connect to future learning
Do not worry about those advanced topics right now. Just know that every time you practice interpreting data, you are building a skill that will help you in many subjects for years to come.
SECTION 9
Practice Problems
Question 1: CONCEPTUAL
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Question 2: BASIC CALCULATION
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Question 3: INTERMEDIATE
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Question 4: APPLIED
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Question 5: CRITICAL THINKING
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SUMMARY
Lesson Summary
Summary
In this lesson, you learned four key statistical measures: the mean (add all values and divide by the count), the median (the middle value in an ordered list), the mode (the most common value), and the range (largest minus smallest). You also learned the basic probability formula: favorable outcomes divided by total outcomes.
Most importantly, you practiced the skill of interpreting in context — connecting a number back to its real-world meaning. On the TACHS, always read the question carefully, choose the right measure, compute the value, and then explain what it means in the situation. Remember: the mean can be pulled by outliers, so the median is sometimes a better choice for representing a typical value.