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The mean as a balance point

Five quiz scores of 6, 8, 9, 7 and 10 add to 40, so their mean is 40 ÷ 5 = 8.

Five friends pool their pocket money

Five friends get different amounts of pocket money this week. The numbers are made up: $6, $8, $9, $7 and $10. They put it all in one jar, $40 in total, and split it evenly. Each takes $8 home. That share is the mean. Only one of the five had exactly $8 to begin with, and nobody minds.

When people say "the average", they nearly always mean this arithmetic mean. Add up the values, then divide by how many there are. Quiz scores of 6, 8, 9, 7 and 10 work the same way as the pocket money: the total is 40, there are 5 scores, and the mean is 40 ÷ 5 = 8. Statistics books write the mean of a sample as x̄ ("x bar") and the mean of a whole population as μ, the Greek letter mu. The recipe is the same for both: x̄ = (sum of the values) ÷ n.

Deviations from 8 add up to zero

Now put the scores on a ruler. Each one is a coin of equal weight sitting at its own number. Where does the ruler balance? At the mean. You can check this with deviations: the distance of each value from the mean, with a sign. For the quiz scores they are −2, 0, +1, −1 and +2. Their total is exactly 0. That happens in every data set, because the values below the mean pull with the same total force as the values above it. Far-off values pull harder, so one extreme value can drag the mean a long way.

The quiz scores 6, 7, 8, 9 and 10 on a beam. The deviations from 8 are −2, −1, 0, +1 and +2, which add to 0, so the beam balances at x̄ = 8.
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The five quiz scores as dots. The red triangle under the line is the mean, the balance point, and the green mark is the median. Drag the 10 to the right end and see how far the triangle follows, then tap an empty spot to add a sixth score.

Four whole numbers, and a mean of 2.5

The mean does not have to be one of the values. The mean of 1, 2, 3 and 4 is 2.5. The mean number of children per family can be 1.8 even though no family has 1.8 children. Shift every value by the same amount and the mean shifts with it; double every value and the mean doubles. Change a single value by d and the mean changes by d ÷ n. In a set of 5 values, raising one score by 5 points raises the mean by 1.

Because the mean is tied to the total, you can run it backwards. Four tests average 80? Then they total 320. A mean of 82 over five tests needs a total of 410, so the fifth test must be 410 − 320 = 90. Sometimes the parts of a grade count differently, and then you need a weighted mean: multiply each value by its weight, add, and divide by the total weight. A course grade that is 60% homework at 80 and 40% exam at 90 comes to 0.6 × 80 + 0.4 × 90 = 84.

Data often come as a frequency table instead of a list. Multiply each value by how many times it occurs, add the products, and divide by the total count. OpenStax's symmetric set has one 4, one 5, three 6s, six 7s, three 8s, one 9 and one 10. The products add to 4 + 5 + 18 + 42 + 24 + 9 + 10 = 112. The count is 16. So the mean is 112 ÷ 16 = 7, which is a weighted mean again, with the frequencies as the weights.

The mean of 2, 2, 2, 2 and 12 is 20 ÷ 5 = 4, a value that only one of the five numbers is anywhere near. The next lessons show averages that resist one large value.
MeanSum of the values ÷ number of values
x̄ and μSample mean and population mean
DeviationValue − mean; deviations always add to 0
Weighted meanΣ(weight × value) ÷ Σ weights
  1. What is the mean of 3, 7 and 8?
  2. What is the mean of the quiz scores 6, 8, 9, 7, 10?
  3. What is the sum of the deviations from the mean for those scores?
  4. Four tests average 80. What must the fifth score be for a mean of 82?
  5. Homework 80 counts 60%, exam 90 counts 40%. What is the weighted mean?
  6. What is the mean of 2, 2, 2, 2, 12?
  7. OpenStax data 4, 5, 6, 6, 6, 7, 7, 7, 7, 8. What is the mean?
  8. Every value in a set with mean 12 is increased by 5. What is the new mean?
  9. Five values have mean 8. One of them rises by 5. What is the new mean?
  10. Can the mean be a number that does not appear in the data?
    • No, never
    • Yes, for example 2.5 for 1, 2, 3, 4
    • Only for even n
    • Only for negative data
Common mistakes
  • Averaging two class means: class A (20 students) averages 70 and class B (30 students) averages 80, so the whole group averages 75. The classes are different sizes. Go back to totals: 20 × 70 + 30 × 80 = 3,800 points shared by 50 students, a mean of 76. A plain mean of two means only works when the groups are the same size.
  • Taking the mean of percentages: 1 of 2 free throws in one game (50%) and 9 of 10 in the next (90%) makes a rate of (50% + 90%) ÷ 2 = 70%. The second game had five times as many shots. Count shots instead: 10 made out of 12 is about 83.3%. Averaging percentages forgets what each percentage is a share of.
  • Leaving a 0 out: scores 0, 6, 8 and 10 averaged as 24 ÷ 3 = 8. A zero is a value. There are four scores, so the mean is 24 ÷ 4 = 6. Leaving it out is right only when the 0 means "did not take the test" and you decided to drop that person.
Teacher's noteStart with sharing before the formula. Levelling stacks of blocks works, and so does the pocket-money jar. "Add and divide" then has a reason behind it. Deviations deserve one extra minute, because they come back in the spread lesson as the first step of the standard deviation. In weighted means, the slip to watch for is dividing by the number of items instead of the total weight; when the weights are 60% and 40%, they already add to 1.
Key points
  • Mean = sum ÷ n (x̄ for a sample, μ for a population).
  • Deviations from the mean add to 0: the mean is the balance point.
  • Changing one value by d moves the mean by d ÷ n.
  • Weighted mean: multiply by weights, add, divide by total weight.
Sources for this course (7)
  • Curriculum: 교육부 고시 제2022-33호 [별책 8] 수학과 교육과정 (ncic.re.kr/inv/org/download.do?year=2022&seq=10003559&orgType=ogi4, PDF read 2026-10-19: 초등학교 5~6학년군 [6수04-01] 평균의 의미, 고려 사항 「평균을 구하는 방법뿐만 아니라 그 의미를 직관적으로 파악하게 한다」; 중학교 1~3학년군 [9수04-01] 중앙값·최빈값과 대푯값 고르기, [9수04-07] 분산과 표준편차, [9수04-08] 상자그림으로 분포 비교, 용어 변량·대푯값·중앙값·최빈값·도수분포표·산포도·편차·분산·표준편차·사분위수·상자그림; 고등학교 확률과 통계 용어 표본평균·모평균·표본분산·표본표준편차와 기호 X̄, S², S, N(m, σ²); 실용 통계 [12실통02-04] 대푯값과 산포도 고르기)
  • Middle-school variance as the mean of the squared deviations: EBS Math 중3 「분산과 표준편차」 (www.ebsmath.co.kr/resource/rscView?cate=123500&cate2=123510&cate3=123511&rscTpDscd=RTP10&grdCd=MGRD03&sno=24525&type=S, read 2026-10-19)
  • Textbook: OpenStax, Introductory Statistics 2e by Barbara Illowsky and Susan Dean, 2.3 measures of location, quartiles as medians of the lower and upper halves, IQR, 1.5 × IQR outlier rule, 13 real estate prices, 11 salaries, day and evening class test scores (openstax.org/books/introductory-statistics-2e/pages/2-3-measures-of-the-location-of-the-data)
  • 2.5 measures of the center (.../pages/2-5-measures-of-the-center-of-the-data)
  • 2.6 skewness and the mean, median and mode, the three ten- and sixteen-value data sets (.../pages/2-6-skewness-and-the-mean-median-and-mode)
  • 2.7 measures of the spread, sample standard deviation with n − 1 (.../pages/2-7-measures-of-the-spread-of-the-data)
  • Trimmed mean only: Federal Reserve Bank of Dallas, Trimmed Mean PCE inflation rate (dallasfed.org/research/pce and /research/pce/descr)

Checked: 2026-10-17