The central limit theorem is an important theorem in statistics, which describes that when the sample size is large enough, the distribution of the sample mean will be close to the normal distribution
Central limit theorem calc
What is it about?
The central limit theorem is an important theorem in statistics, which describes that when the sample size is large enough, the distribution of the sample mean will be close to the normal distribution. This means that even if the original data does not follow the normal distribution, the distribution of the sample mean will still be close to the normal distribution.
App Store Description
The central limit theorem is an important theorem in statistics, which describes that when the sample size is large enough, the distribution of the sample mean will be close to the normal distribution. This means that even if the original data does not follow the normal distribution, the distribution of the sample mean will still be close to the normal distribution.
The central limit theorem calculator can help us calculate the distribution of the sample mean. The user only needs to enter the sample size, the population mean and the population standard deviation, and the calculator will give the distribution of the sample mean, including the mean and standard deviation.
Using the central limit theorem calculator can help us better understand the distribution characteristics of the sample mean and its application in statistical inference.
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