Practice Normal Distribution in Statistics

Use these practice problems to test your method after reviewing the concept explanation and worked examples.

Quick Recap

The normal distribution (bell curve) is a symmetric, bell-shaped probability distribution where most data clusters around the mean, with probabilities decreasing symmetrically toward the tails. It is defined by two parameters: the mean and the standard deviation.

Heights, test scores, measurement errors - many real phenomena cluster around an average with decreasing frequency toward extremes. The bell curve captures this pattern: most values are 'average,' few are extreme.

Showing a random 20 of 50 problems.

Example 1

easy
A normal distribution has mean 100. The value 100 is at what percentile?

Example 2

medium
Test scores are normal with μ=500, σ=100. Roughly what percent score above 600?

Example 3

medium
A normal distribution has μ=50, σ=5. About 95% of data lies between which values?

Example 4

medium
For μ=100, σ=15, find the z-score of x=130.

Example 5

easy
Adult IQ scores are designed with μ=100, σ=15. About what percent lies between 85 and 115?

Example 6

easy
Are the tails of a normal distribution ever exactly reaching zero?

Example 7

hard
What is the median of a normal distribution with μ=25, σ=4?

Example 8

medium
In a normal distribution, what fraction of data lies between z=−1 and z=2?

Example 9

hard
Two normal curves have the same mean but σA=2,σB=5. Which is taller at the center?

Example 10

medium
For a normal distribution, about what percent of data lies BELOW the mean minus 1 SD?

Example 11

easy
What is the value of the standard normal distribution's mean and SD?

Example 12

medium
A z-score of 0 corresponds to a value equal to what?

Example 13

hard
A normal distribution has μ=0,σ=2. Find P(∣X∣>4).

Example 14

easy
Approximately what percent of data lies within ONE standard deviation of the mean in a normal distribution?

Example 15

medium
SAT scores have μ=1000, σ=200. A score of 1400 is at what percentile, roughly?

Example 16

medium
IQ scores follow a normal distribution with mean μ=100 and standard deviation σ=15. Using the 68-95-99.7 rule, what percentage of people have IQs between 85 and 115?

Example 17

medium
For μ=50, σ=4, what value lies 1.5 SDs above the mean?

Example 18

medium
A normal distribution has μ=70, σ=4. What value is 2 standard deviations above the mean?

Example 19

easy
For a normal distribution, the mean, median, and mode are all located where?

Example 20

easy
Which two parameters fully define a normal distribution?