TACHS Math • Data Analysis / Probability / Statistics

Compute and interpret measures of center (mean, median) (as tested)

Learn how to find the mean and median to describe what is typical in a data set.

TACHS illustration with a Catholic high school, reading book, and math calculator
Inside this lesson 10 sections 5 questions 7 figures

SECTION 1

Historical Context & Motivation

People have always wanted a quick way to describe a group of numbers. Imagine you scored 85, 90, 78, 92, and 95 on five tests. Instead of listing every score, wouldn't it be easier to say one number that represents how you're doing overall? That is exactly the problem that measures of center solve.

For thousands of years, mathematicians and scientists have developed tools to summarize data. The idea of an average goes back to ancient astronomers who combined observations to get a more accurate result. Over time, two key measures became the most popular: the mean and the median.

~3000 BCE • Early Averaging

Ancient Babylonian astronomers averaged repeated sky observations to reduce errors in their star charts.

1500s • Navigation Averages

European sailors averaged compass readings to find more accurate directions across the ocean.

1700s • The Mean Becomes Standard

Mathematicians like Carl Friedrich Gauss made the arithmetic mean a central tool in science and statistics.

1900s • Median Gains Popularity

Statisticians realized the median is better when data has extreme values, like income data with a few very wealthy people.

Today, the mean and median are everywhere — in sports stats, report cards, weather reports, and more. The big question this lesson answers is: How do you calculate each one, and when should you use one instead of the other?

SECTION 2

Core Principles & Definitions

A measure of center is a single number that represents the "middle" or "typical" value in a set of data. Think of it as a way to summarize a whole list with just one number. The two most common measures of center are the mean and the median.

1

Mean (Average)

Add up all the values, then divide by how many values there are. The mean uses every number in the data set.
2

Median (Middle Value)

Put the values in order from least to greatest. The median is the number right in the middle of the list.
3

Odd vs. Even Count

If there is an odd number of values, the median is the single middle number. If there is an even number, the median is the mean of the two middle numbers.
4

Outliers Matter

An outlier is a value much larger or smaller than the rest. Outliers pull the mean toward them but barely change the median.
✦

KEY TAKEAWAY

Think of the mean like sharing pizza slices equally: if your group has 24 slices total and 6 people, each person gets 4 slices. The median is like lining everyone up by height and picking the person standing right in the center.

SECTION 3

Visual Explanation

The diagram below shows a data set on a number line. You can see how the mean and median each find the "center" in a different way.

Finding the Mean and Median of: 3, 5, 7, 8, 1212345678910357812MEDIAN = 7(middle value, 3rd of 5)MEAN = 7(35 ÷ 5 = 7)
This number line shows the data set {3, 5, 7, 8, 12}. The solid purple arrow points to the median (7) — the middle value when the numbers are in order. The dashed gold arrow points to the mean (7) — the sum (35) divided by the count (5). In this data set, they happen to be the same!

In this example, the mean and median are the same number. But that doesn't always happen! When data has very high or very low values (called outliers), the mean gets pulled toward them while the median stays near the true center.

SECTION 4

Mathematical Framework

Here are the formulas you need for the TACHS. Don't worry — they are simple once you practice them a few times.

MEAN (AVERAGE)

Mean=Sumofallvalues÷NumberofvaluesMean = Sum of all values ÷ Number of values

Add every number in the data set together, then divide by how many numbers there are. For example, if the values are 4, 6, and 8, the mean = (4 + 6 + 8) ÷ 3 = 18 ÷ 3 = 6.

MEDIAN (ODD COUNT)

Medianposition=(n+1)÷2Median position = (n + 1) ÷ 2

First, put all values in order from least to greatest. Here, n is the number of values. If n is odd, the median is the value at position (n + 1) ÷ 2. For 5 values: (5 + 1) ÷ 2 = position 3, so the median is the 3rd number.

MEDIAN (EVEN COUNT)

Median=(valueatpositionn÷2+valueatpositionn÷2+1)÷2Median = (value at position n÷2 + value at position n÷2 + 1) ÷ 2

If n is even, there is no single middle number. Take the two middle values and find their mean. For 6 values, the two middle positions are 3rd and 4th. Average those two numbers to find the median.

💡

Test Tip

On the TACHS, always put the numbers in order first before finding the median. A common mistake is picking the middle number from the list as it was originally given — that's usually wrong unless the list was already sorted!

SECTION 5

Mean vs. Median — When They Differ

The mean and median can give very different answers when the data has an outlier. Let's see what happens when we change just one number in a data set.

How an Outlier Pulls the MeanSet A: No Outlier10121416181st2nd3rd ← Median4th5thMean = 70 ÷ 5 = 14Set B: With Outlier (18 → 50)10121416501st2nd3rd ← Median4thOutlier!Mean = 102 ÷ 5 = 20.4Result: Median stayed at 14 in both sets.Mean jumped from 14 to 20.4 — pulled up by the outlier (50).
Set A has no outlier, and the mean and median are both 14. In Set B, the largest value changes from 18 to 50 (an outlier). The median stays at 14, but the mean jumps to 20.4. This shows how the mean is sensitive to outliers while the median is resistant.

This is a big deal on tests! The TACHS may give you a data set with one extreme value and ask which measure of center better describes the data. If there is an outlier, the median is usually the better choice because it is not dragged away by that extreme number.

SECTION 6

Worked Example

Let's walk through a full problem step by step. This is the kind of question you might see on the TACHS.

ℹ

Problem

A student scored the following points in 6 basketball games: 8, 15, 12, 22, 10, 17. Find the mean and median of her scores.

Finding the Mean

  1. 1

    Step 1 — Add all the values

    8 + 15 + 12 + 22 + 10 + 17 = 84
    Sum = 84
  2. 2

    Step 2 — Count the values

    There are 6 games (values).
    n = 6
  3. 3

    Step 3 — Divide the sum by the count

    Mean = 84 ÷ 6 = 14
    Mean = 14 points

Finding the Median

  1. 1

    Step 1 — Put the values in order

    From least to greatest: 8, 10, 12, 15, 17, 22.
  2. 2

    Step 2 — Count the values

    There are 6 values. Since 6 is even, there is no single middle number. We need the 3rd and 4th values.
  3. 3

    Step 3 — Find the two middle values

    The 3rd value is 12. The 4th value is 15.
  4. 4

    Step 4 — Average the two middle values

    Median = (12 + 15) ÷ 2 = 27 ÷ 2 = 13.5
    Median = 13.5 points

SECTION 7

Strengths & Limitations

Both the mean and the median are useful, but they have different strengths. The table below compares them side by side.

FeatureMeanMedian
What it measuresThe "equal share" — what each value would be if everything were evenly distributedThe middle position — the value that splits the ordered list in half
Uses every value?Yes — every number affects the meanNo — only the middle value(s) matter
Affected by outliers?Yes — one extreme value can change it a lotNo — stays near the center even with outliers
Best for...Data with no extreme values (symmetric data)Data with outliers or skewed data
Example useClass test averageMedian household income

Comparison of the mean and median

✦

KEY TAKEAWAY

Imagine five friends earn $10, $12, $11, $13, and $200. The mean income is $49.20, but that doesn't describe anyone — most earn around $11 to $13! The median of $12 paints a much more realistic picture. When data has an outlier, trust the median to tell you what's typical.

SECTION 8

Connection to Advanced Concepts

The mean and median are just two of several measures of center. As you move to more advanced math, you'll encounter a few more. Here's a quick preview of how they connect.

What You Know NowWhat Comes Next
Mean — simple average of valuesWeighted Mean — some values count more than others (like final exams worth more)
Median — middle of an ordered listQuartiles & Box Plots — dividing data into four equal groups to see the spread
Comparing mean & median to detect outliersStandard Deviation — a number that tells you how spread out data is from the mean
Finding center of a small data setMode — the most frequently occurring value, useful for categories

From basic measures of center to advanced statistics

For the TACHS, you only need the mean and median. But knowing that these ideas connect to bigger topics can help you see why mastering them now is so important. You're building the foundation for all of statistics!

SECTION 9

Practice Problems

Try these five problems. They start easy and get harder. Work through each one on paper, then check your answer.

Question 1: CONCEPTUAL

What is the difference between the mean and the median? In your own words, describe what each one measures.
Show answer
The mean is the average — you add up all the values and divide by how many there are. It tells you the "equal share" if everything were split evenly. The median is the middle value when the numbers are in order. It tells you the value where half the data is below and half is above. The mean uses every value in the calculation, while the median depends only on the position of the middle number(s).

Question 2: BASIC CALCULATION

Find the mean and median of this data set: 4, 9, 6, 3, 8.
Show answer
Mean: Add all values: 4 + 9 + 6 + 3 + 8 = 30. Divide by 5: 30 ÷ 5 = 6. Median: Put in order: 3, 4, 6, 8, 9. There are 5 values (odd), so the median is the 3rd value = 6. Both measures of center are 6 for this data set.

Question 3: INTERMEDIATE

The heights (in inches) of 6 students are: 58, 62, 55, 64, 60, 61. Find the mean and median height.
Show answer
Mean: Sum = 58 + 62 + 55 + 64 + 60 + 61 = 360. Mean = 360 ÷ 6 = 60 inches. Median: Ordered: 55, 58, 60, 61, 62, 64. There are 6 values (even), so average the 3rd and 4th: (60 + 61) ÷ 2 = 121 ÷ 2 = 60.5 inches. The median does not have to be one of the original numbers — it can fall between two values when the count is even.

Question 4: APPLIED

A store tracks the number of customers per day for a week: 30, 42, 35, 38, 200, 40, 33. The owner says the store "averages about 60 customers a day." Is the mean or the median a better representation of a typical day? Explain.
Show answer
Mean = (30 + 42 + 35 + 38 + 200 + 40 + 33) ÷ 7 = 418 ÷ 7 ≈ 59.7. Ordered list: 30, 33, 35, 38, 40, 42, 200. Median = 4th value = 38. The value 200 is an outlier — maybe a big sale event. It pulls the mean up to about 60, but most days had around 30–42 customers. The median of 38 better represents a typical day. The owner's claim of 60 is technically the mean, but it's misleading because one unusual day inflated it.

Question 5: CRITICAL THINKING

A student has quiz scores of 80, 85, 90, and 75. She wants her mean to be at least 85 after her 5th quiz. What is the minimum score she needs on the 5th quiz?
Show answer
To have a mean of 85 after 5 quizzes, the total of all 5 scores must equal 85 × 5 = 425. Her current total is 80 + 85 + 90 + 75 = 330. She needs 425 − 330 = 95 on her 5th quiz. This uses the mean formula in reverse: instead of dividing to find the mean, you multiply the desired mean by the number of values to find the total you need, then subtract what you already have.

SUMMARY

Lesson Summary

Summary

A measure of center is a single number that describes the typical value in a data set. The mean (average) is found by adding all values and dividing by the count. The median is the middle value when data is placed in order — if the count is even, average the two middle values. Both the mean and median tell you about the center, but they do it in different ways.

When data contains an outlier (an extreme value), the mean gets pulled toward it, making it less representative. The median stays stable and is usually a better measure of what is typical when outliers are present. On the TACHS, always sort the data first before finding the median, double-check your addition for the mean, and ask yourself which measure better describes the data.

Varsity Tutors • TACHS Math • Compute and interpret measures of center (mean, median) (as tested)