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What is the normal distribution, and how do you use it?

Quick answer

The normal distribution is a symmetrical, bell-shaped curve described by its mean μ and standard deviation σ. About 68% of values lie within 1σ of the mean, 95% within 2σ and 99.7% within 3σ.

Ages 15–18Secondary

In one sentence

The normal distribution is the bell-shaped curve that many measurements follow: most values are close to the average, and the further you go from it, the rarer the values become.

Explained

Measure the mass of 1,000 apples from the same orchard. A few will be very light and a few very heavy, but most will be close to the average. If you draw a histogram of the masses and make the bars narrower and narrower, the outline turns into a smooth bell curve. That curve is the normal distribution, also called the Gaussian distribution after the mathematician Carl Friedrich Gauss.

  • apple
  • ruler
  • bread
Apple masses, heights and bag weights often follow a bell curve.

A normal distribution is described by just two numbers:

  • the mean μ, which says where the centre of the bell is;
  • the standard deviation σ, which says how wide the bell is (see standard deviation).

We write X ~ N(μ, σ²). Careful: in the UK and many textbooks the second number is the variance σ², so N(60, 16) means a standard deviation of 4.

Its key properties:

  • It is symmetrical about the mean, so the mean = median = mode.
  • It is continuous: values can be any real number, not just whole numbers. So you find the probability of a range of values, not of one exact value, and P(X = a) = 0.
  • The total area under the curve is 1, and the area between two values is the probability of landing between them.
  • The curve never quite touches the x-axis, but almost all of the area is within 3σ of the mean.

The 68–95–99.7 rule (the empirical rule) gives quick estimates: about 68% of values lie within 1σ of the mean, about 95% within 2σ, and about 99.7% within 3σ.

For exact answers you standardise. The z-score says how many standard deviations a value is from the mean:

z = (x − μ) ÷ σ

The z-scores follow the standard normal distribution Z ~ N(0, 1), with mean 0 and standard deviation 1. A table (or calculator) gives Φ(z) = P(Z < z), the area to the left of z.

Examples

Some values from the standard normal table, rounded to 4 decimal places:

z 0 0.5 1 1.5 1.96 2 2.5 3
Φ(z) = P(Z < z) 0.5000 0.6915 0.8413 0.9332 0.9750 0.9772 0.9938 0.9987

Worked example: the heights of a group of adults are modelled as normal with mean 170 cm and standard deviation 8 cm. What is the probability that a person is shorter than 182 cm?

z = (182 − 170) ÷ 8 = 1.5, so P(X < 182) = Φ(1.5) = 0.9332. About 93% of the group are shorter than 182 cm.

What about taller than 182 cm? Use the complement: 1 − 0.9332 = 0.0668.

Negative z-values are not in most tables. Use the symmetry: Φ(−z) = 1 − Φ(z). For example, P(Z < −1) = 1 − 0.8413 = 0.1587.

Common mistakes

  • Using the variance as σ. In N(60, 16), σ = √16 = 4, not 16. Fix: check whether the second number is σ or σ².
  • Forgetting which side the table gives. Φ(z) is the area to the left. Fix: for "greater than", calculate 1 − Φ(z).
  • Looking up a negative z directly. Fix: use Φ(−z) = 1 − Φ(z), and sketch the curve to check the answer is sensible.
  • Applying the normal model to skewed data. Waiting times or incomes are often lopsided. Fix: check that the data look roughly symmetrical and bell-shaped first.

Step by step

Step by step

  1. SketchDraw a bell curve, mark the mean in the middle and shade the area you want.
  2. StandardiseTurn each x-value into a z-score with z = (x − μ) ÷ σ.
  3. Look up Φ(z)Read the area to the left from the table or use your calculator's Normal CD function.
  4. AdjustFor "greater than" use 1 − Φ(z); for "between a and b" use Φ(z_b) − Φ(z_a).
  5. CheckCompare with your sketch: is the probability bigger or smaller than 0.5, as it should be?

To work backwards (find x from a probability), look up the z that gives that area, then use x = μ + zσ.

Practice questions

Normal distribution practice

Try each one, then check your answer.

  1. X has mean 50 and σ = 10. Find the z-score of x = 65.
    Show answer
    (65 − 50) ÷ 10 = 1.5
  2. Same X. Find the z-score of x = 35.
    Show answer
    (35 − 50) ÷ 10 = −1.5
  3. Mean 100, σ = 15. Which value has z = 2?
    Show answer
    100 + 2 × 15 = 130
  4. Heights: μ = 170 cm, σ = 8 cm. About what percentage are between 162 and 178 cm?
    Show answer
    That is within 1σ of the mean: about 68%
  5. Same heights. About what percentage are between 154 and 186 cm?
    Show answer
    Within 2σ: about 95%
  6. Same heights. About what percentage are taller than 178 cm?
    Show answer
    (100% − 68%) ÷ 2 = about 16%
  7. Same heights. About what percentage are shorter than 146 cm?
    Show answer
    146 is 3σ below: (100% − 99.7%) ÷ 2 = about 0.15%
  8. Find P(Z < 1).
    Show answer
    From the table: 0.8413
  9. Find P(Z > 1.5).
    Show answer
    1 − 0.9332 = 0.0668
  10. Find P(Z < −0.5).
    Show answer
    1 − Φ(0.5) = 1 − 0.6915 = 0.3085
  11. Find P(−1 < Z < 2).
    Show answer
    Φ(2) − Φ(−1) = 0.9772 − 0.1587 = 0.8185
  12. X ~ N(60, 4²). Find P(X < 66).
    Show answer
    z = (66 − 60) ÷ 4 = 1.5, so 0.9332
  13. X ~ N(200, 25²). Find P(X > 250).
    Show answer
    z = 50 ÷ 25 = 2, so 1 − 0.9772 = 0.0228
  14. X ~ N(80, 5²). Find x so that P(X < x) = 0.975.
    Show answer
    Φ(1.96) = 0.975, so x = 80 + 1.96 × 5 = 89.8
  15. X ~ N(30, 9). What is the standard deviation?
    Show answer
    The 9 is the variance, so σ = √9 = 3

Word problems

The normal distribution in real life

Try each one, then check your answer.

  1. A machine fills bags of flour with mean 1000 g and σ = 5 g. What is the probability that a bag weighs less than 990 g?
    Show answer
    z = (990 − 1000) ÷ 5 = −2; Φ(−2) = 1 − 0.9772 = 0.0228 (about 2.3%)
  2. Exam marks are normal with mean 65 and σ = 10. What percentage score above 80?
    Show answer
    z = 1.5; 1 − 0.9332 = 0.0668, so about 6.7%
  3. In the same exam, 200 students sat the paper. About how many scored above 80?
    Show answer
    200 × 0.0668 = 13.36, so about 13 students
  4. Battery life is normal with mean 400 hours and σ = 40 hours. Find the probability that a battery lasts between 360 and 480 hours.
    Show answer
    z from −1 to 2: 0.9772 − 0.1587 = 0.8185
  5. A bus ride takes on average 30 minutes with σ = 3 minutes. How long should you allow to arrive on time 97.5% of the time?
    Show answer
    x = 30 + 1.96 × 3 = 35.88, so about 36 minutes

Questions people ask

What is the normal distribution formula?

The curve is y = (1 ÷ (σ√(2π))) × e^(−(x − μ)² ÷ (2σ²)). At school you rarely use it directly: you standardise with z = (x − μ) ÷ σ and use a table or calculator.

How do you read the normal distribution table?

Find the z-value to 2 decimal places: the row gives the first decimal and the column the second. The number inside is Φ(z), the probability of a value below z. For z = 1.23, go to row 1.2 and column 0.03.

How do you find normal probabilities on a calculator?

Use the Normal CD function (normalcdf on a TI-84). Enter the lower bound, the upper bound, μ and σ (the order depends on the model). For "less than 66" use a very small lower bound such as −10⁹⁹.

How do you use the normal distribution in Excel?

=NORM.DIST(x, mean, sd, TRUE) gives P(X < x). =NORM.S.DIST(z, TRUE) gives Φ(z), and =NORM.INV(p, mean, sd) works backwards from a probability.

Is the normal distribution continuous or discrete?

Continuous. It models measurements such as length, mass or time, which can take any value in a range.

What is the normal distribution used for?

To model data that cluster symmetrically around an average (heights, measurement errors, filling weights of a machine), to judge how unusual a value is, and as the basis of many tests in statistics.

Quick quiz

The normal distribution

Check what you know with 4 quick questions.

Question 1 of 4

In a normal distribution, how do the mean, median and mode compare?

Practise it

Try it

All Mean, median and mode sheets

Practise it step by step in a full course: Grade 12 Maths

For grown-ups

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Cumulative frequency is a running total of frequencies. Add each frequency to the total so far; the last value equals the total, and a cumulative frequency graph gives the median and quartiles.

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