Skip to content
RK Calculator
Menu

Central Limit Theorem Calculator

Find the mean and standard error of the sampling distribution of the mean for a sample size.

Change the values and press Calculate to work out your own figures.

Enter the population mean, standard deviation and sample size.

About mean (μ)The distribution's mean.
About standard deviation (σ)Must be greater than 0.
About sample size (n)Number of observations.
Result
Standard error, σ ÷ √n
2
Mean of the sample means
70
Variance of the sample means
4

Means of samples of 36 vary around 70 with a standard deviation of 2.

Show the working
  1. μ(x̄) = μ = 70
  2. σ(x̄) = σ ÷ √n = 12 ÷ √36 = 2

How to use it

Enter the population mean, standard deviation and sample size.

Probabilities can be typed as decimals, fractions or percentages. Show the working gives the formula with your numbers in it.

Key facts

μx̄ = μ;  σx̄ = σ ÷ √n

Why it matters

Whatever the shape of the population, the means of large enough samples are approximately normally distributed, which is what makes confidence intervals and t-tests work. n ≥ 30 is a common rule of thumb.

Questions

What is the standard error for σ = 12, n = 36?

2.

Does the population need to be normal?

No, for large enough samples.

Formulas

μx̄ = μ;  σx̄ = σ ÷ √n

Sources

Limitations

  • Probabilities can be typed as decimals (0.25), fractions (1/4) or percentages (25%).

Formula version 0.1.0Reviewed