Question

What is the role of sample size in the central limit theorem?

Answer 1

The central limit theorem:

• The Central limit theorem is used when there are large data. It approximates the normal distribution, by taking the means of the samples.
• The sample size is small data taken randomly to find the approximate value for large data.
• The mean and standard deviation of the population can be determined using large samples.

To apply the central limit theorem, the sample size should be equal to or greater than $30$.