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 and standard deviation . About of values fall within one of the mean, within two and within three.
A z-score 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.
Key ideas
- Standardise: ; unstandardise: .
- The empirical rule: --.
- 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 and . What share of students score above 86?
- .
- About lie within , leaving in the two tails.
- By symmetry, half of that is above .
- About (the exact table value is ).
Answer: about
Common mistakes
- Forgetting to divide by 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.Find for when and .
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2.Which value has when and ?
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3.Roughly what percent of a normal population lies within one standard deviation of the mean?
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