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 100100. The value 100100 is at what percentile?

Example 2

medium
Test scores are normal with μ=500\mu=500, σ=100\sigma=100. Roughly what percent score above 600600?

Example 3

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

Example 4

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

Example 5

easy
Adult IQ scores are designed with μ=100\mu = 100, σ=15\sigma = 15. About what percent lies between 8585 and 115115?

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\mu = 25, σ=4\sigma = 4?

Example 8

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

Example 9

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

Example 10

medium
For a normal distribution, about what percent of data lies BELOW the mean minus 11 SD?

Example 11

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

Example 12

medium
A z-score of 00 corresponds to a value equal to what?

Example 13

hard
A normal distribution has μ=0,σ=2\mu = 0, \sigma = 2. Find P(X>4)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\mu = 1000, σ=200\sigma = 200. A score of 14001400 is at what percentile, roughly?

Example 16

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

Example 17

medium
For μ=50\mu = 50, σ=4\sigma = 4, what value lies 1.51.5 SDs above the mean?

Example 18

medium
A normal distribution has μ=70\mu=70, σ=4\sigma=4. What value is 22 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?