What Is Average? Definition, Formula & Examples

#Math Terms
TL;DR
The average of a set of numbers is their sum divided by how many numbers there are — also called the arithmetic mean. This article covers the average formula, how it differs from the median and mode, six worked examples, and the slips that throw the answer off.
BT
Bhanzu TeamLast updated on June 16, 20268 min read

What Is the Average?

The average of a set of numbers is the sum of all the values divided by the number of values. It is the most common way to describe the "centre" of a data set, and in everyday math it is the same thing as the arithmetic mean.

Average=sum of all valuesnumber of values=x1+x2+⋯+xnn.\text{Average} = \frac{\text{sum of all values}}{\text{number of values}} = \frac{x_1 + x_2 + \cdots + x_n}{n}.

For the numbers 4,8,64, 8, 6, the average is 4+8+63=183=6\frac{4 + 8 + 6}{3} = \frac{18}{3} = 6. Notice that 66 isn't one of the original values — the average is a summary of the set, not necessarily a member of it.

The word "average" is broad. In casual use it points to the arithmetic mean, but in statistics "average" can refer to any measure of the centre — mean, median, or mode. When precision matters, name which one you mean.

How Do You Calculate an Average?

You calculate an average in two steps: add, then divide.

To find the average of 10,15,20,10010, 15, 20, 100:

  1. Add the values: 10+15+20+100=14510 + 15 + 20 + 100 = 145.

  2. Divide by how many there are: 145÷4=36.25145 \div 4 = 36.25.

So the average is 36.2536.25. One thing to notice immediately — three of the four numbers are well below 36.2536.25. A single large value (100100) has pulled the average up. Hold that observation; it is the seed of why we sometimes prefer the median.

Is the Average the Same as the Mean?

In basic math, yes — the average and the arithmetic mean are the same calculation: sum divided by count. The distinction shows up at higher levels:

  • Average is the everyday word, used for a single representative value.

  • Mean is the precise statistical term, and it comes in flavours — the arithmetic mean (the familiar one), the geometric mean (for rates and growth), and the harmonic mean (for averaging speeds).

For everything in this article, "average" and "arithmetic mean" mean the same number. The flavours of mean are a phantom of what's coming in later statistics.

Mean, Median, and Mode — The Three Averages

The mean is one of three common measures of central tendency, and confusing them is the most frequent error in the whole topic.

  • Mean. The sum divided by the count. Uses every value, which makes it sensitive to outliers.

  • Median. The middle value once the numbers are sorted. With an even count, it is the average of the two middle values. Outliers barely move it.

  • Mode. The value that appears most often. The only average that works on non-numerical data, like favourite colours.

When should you use the median instead of the mean?

When the data has extreme values. House prices are the classic case — a few mansions drag the mean far above what a typical home costs, so reports use the median instead. The mean is best when the data is evenly spread with no outliers; the median is best when a few unusual values would distort the picture.

Examples of Average

Example 1

Find the average of 5,9,7,35, 9, 7, 3.

Sum: 5+9+7+3=245 + 9 + 7 + 3 = 24. Count: 44. Average: 24÷4=624 \div 4 = 6.

Final answer: 66.

Example 2

A student scores 70,80,70, 80, and 9090 on three tests. A fourth test is added. The student wants a four-test average of 8080. What must they score on the fourth test?

Wrong attempt. A student reasons: "I want an average of 8080, and I scored 70,80,9070, 80, 90 — the 7070 and 9090 cancel out and the 8080 is already there, so I just need another 8080." Plausible, but it skips the actual definition. An average is total divided by count, and you can't reason about it by pairing numbers off in your head — that only works by luck when the numbers happen to be symmetric.

The rescue. Work from the definition. For four scores to average 8080, the total must be 4×80=3204 \times 80 = 320. The first three scores total 70+80+90=24070 + 80 + 90 = 240. So the fourth must be 320−240=80320 - 240 = 80.

Final answer: 8080. The shortcut happened to land on the right number here — but only because the first three scores were symmetric around 8080. Change them to 60,80,9060, 80, 90 and the pairing trick breaks; the definition never does.

Example 3

Find the average of the first five even numbers: 2,4,6,8,102, 4, 6, 8, 10.

Sum: 2+4+6+8+10=302 + 4 + 6 + 8 + 10 = 30. Count: 55. Average: 30÷5=630 \div 5 = 6.

Final answer: 66.

Example 4

The average of four numbers is 1515. Three of them are 10,14,10, 14, and 2020. Find the fourth.

Total of all four: 4×15=604 \times 15 = 60. Sum of the three known: 10+14+20=4410 + 14 + 20 = 44. Fourth number: 60−44=1660 - 44 = 16.

Final answer: 1616. Working backward from the total is the key move whenever the average is given and a value is missing.

Example 5

Find the average of −4,2,−6,8-4, 2, -6, 8.

Negatives are handled like any other value — add them with their signs. Sum: −4+2−6+8=0-4 + 2 - 6 + 8 = 0. Count: 44. Average: 0÷4=00 \div 4 = 0.

Final answer: 00.

Example 6

A class of 2020 students has an average height of 140140 cm. A new student of height 161161 cm joins. What is the new average?

Original total height: 20×140=280020 \times 140 = 2800 cm. New total: 2800+161=29612800 + 161 = 2961 cm over 2121 students. New average: 2961÷21=1412961 \div 21 = 141 cm.

Final answer: 141141 cm. One value above the average nudges the whole average up — by exactly the amount needed to share the extra evenly.

Why the Average Matters Beyond the Worksheet

"The average turns a crowd of numbers into one you can actually act on."

That is its entire job, and it is everywhere a decision rests on many measurements. The idea of using a single representative value is old — astronomers in the 16th and 17th centuries averaged repeated observations of the same star to cancel out measurement error, one of the first deliberate uses of the mean in science. Today it runs:

  • Grades and exams. A report card average decides promotions and admissions.

  • Sports. Batting averages, points per game, and lap times all compress a season into one comparable number.

  • Economics. Average income, average rainfall, average temperature — each summarises a population or a region.

  • Quality control. Factories track the average dimension of parts to catch a process drifting out of spec.

The catch is that the average can mislead when the data is lopsided — which is exactly why statisticians keep the median and mode nearby. A country's average income can rise while most people earn less, if the top earns far more. The average is powerful precisely because it uses every value; that is also how a few extreme values can quietly distort it.

Where Students Trip Up on Averages

Mistake 1: Confusing the mean with the median

Where it slips in: A question asks for the average, and the student sorts the numbers and reports the middle one.

Don't do this: Report the middle value when the question asks for the mean (sum over count).

The correct way: For the mean, add every value and divide by the count. The median is the middle of the sorted list — a different number unless the data is symmetric.

Mistake 2: Dividing by the wrong count

Where it slips in: A new value is added to a set, but the student divides by the old count.

Don't do this: Add the new value to the total but forget to bump the divisor up by one (the Example 6 trap).

The correct way: Update both — the new total and the new count — before dividing.

The rusher archetype lands here most: quick to add the new number, slow to remember the count changed too.

Mistake 3: Trying to average two averages directly

Where it slips in: One class of 3030 averages 6060; another of 1010 averages 8080. A student averages 6060 and 8080 to get 7070.

Don't do this: Average the two averages as if the groups were the same size.

The correct way: Weight by group size. Total marks =30×60+10×80=1800+800=2600= 30 \times 60 + 10 \times 80 = 1800 + 800 = 2600, over 4040 students, giving 6565 — not 7070.

Key Takeaways

  • The average of a data set is the sum of its values divided by the number of values — the arithmetic mean.

  • The average can be a value that doesn't appear in the data, and it uses every value, so outliers pull it.

  • Mean, median, and mode are three different averages — mean adds, median takes the middle, mode takes the most frequent.

  • The most common mistake is confusing the mean with the median — they match only for symmetric data.

  • Use the median instead of the average when a few extreme values would distort the picture.

Practice These Three Before Moving On

  1. Find the average of 12,18,9,2112, 18, 9, 21.

  2. The average of five numbers is 2020. Four of them are 15,22,18,2515, 22, 18, 25. Find the fifth.

  3. One group of 44 averages 1010; another group of 66 averages 2020. What is the combined average? (Weight by group size.)

If you answered 1515 for problem 3, return to Mistake 3 above. Want a live Bhanzu trainer to walk your child through mean, median, and mode with real data sets? Book a free demo class — online globally.

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Frequently Asked Questions

What is the average in simple terms?
Add up all the numbers, then divide by how many there are. The result is the average — the value that represents the whole group.
What is the formula for the average?
Average=sum of valuesnumber of values\text{Average} = \dfrac{\text{sum of values}}{\text{number of values}}.
Average=sum of valuesnumber of values\text{Average} = \dfrac{\text{sum of values}}{\text{number of values}}.
In basic math, yes. Both mean sum divided by count. In statistics, "mean" is the precise term and "average" can also include the median and mode.
Can the average be a number that isn't in the data set?
Yes — and it usually isn't. The average of 4,8,64, 8, 6 is 66 here, but the average of 44 and 88 is 66, which isn't in the set at all.
When should I use the median instead of the average?
When the data has outliers. The median ignores how extreme the high and low values are, so it gives a fairer "typical" value for skewed data like incomes or house prices.
✍️ Written By
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Bhanzu Team
Content Creator and Editor
Bhanzu’s editorial team, known as Team Bhanzu, is made up of experienced educators, curriculum experts, content strategists, and fact-checkers dedicated to making math simple and engaging for learners worldwide. Every article and resource is carefully researched, thoughtfully structured, and rigorously reviewed to ensure accuracy, clarity, and real-world relevance. We understand that building strong math foundations can raise questions for students and parents alike. That’s why Team Bhanzu focuses on delivering practical insights, concept-driven explanations, and trustworthy guidance-empowering learners to develop confidence, speed, and a lifelong love for mathematics.
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