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StatisticsIntroductory StatisticsHigh school

The Normal Distribution

z-scores and areas under the normal curve.

The normal distribution is the symmetric bell-shaped curve that describes many measurements, from heights to test scores to measurement errors. It is completely determined by its mean μ\mu and standard deviation σ\sigma. About 68%68\% of values fall within one σ\sigma of the mean, 95%95\% within two and 99.7%99.7\% within three.

A z-score z=x−μσz = \frac{x - \mu}{\sigma} counts how many standard deviations a value sits from the mean, which lets you compare values from different normal distributions and find probabilities from a single standard normal table.

Key terms

z-score
How many standard deviations a value is from the mean.
z=x−μσz = \frac{x - \mu}{\sigma}

Key ideas

  • Standardise: z=x−μσz = \frac{x - \mu}{\sigma}; unstandardise: x=μ+zσx = \mu + z\sigma.
  • The empirical rule: 6868-9595-99.799.7.
  • Probabilities are areas under the curve; total area is 1.
  • By the central limit theorem, sample means are approximately normal for large samples.

Worked example

Test scores are normal with μ=70\mu = 70 and σ=8\sigma = 8. What share of students score above 86?

  1. z=86−708=2z = \frac{86 - 70}{8} = 2.
  2. About 95%95\% lie within z=±2z = \pm 2, leaving 5%5\% in the two tails.
  3. By symmetry, half of that is above z=2z = 2.
  4. About 2.5%2.5\% (the exact table value is 2.28%2.28\%).

Answer: about 2.3%2.3\%

Common mistakes

  • Forgetting to divide by σ\sigma when standardising.
  • Using the empirical rule for data that are clearly skewed.
  • Reporting the area to the left when the question asks for the right.

Practice questions

Try each one, then open the answer. Numerical answers on this page are verified by an automated calculation check.

  1. 1.Find zz for x=130x = 130 when μ=100\mu = 100 and σ=15\sigma = 15.

    Show answer

    22

  2. 2.Which value has z=−1.5z = -1.5 when μ=50\mu = 50 and σ=4\sigma = 4?

    Show answer

    4444

  3. 3.Roughly what percent of a normal population lies within one standard deviation of the mean?

    Show answer

    68%68\%

Keep practising

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