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What is Central Limit Theorem Explained about?

The document discusses the central limit theorem (CLT) which states that the distribution of sample means from a non-normally distributed population will become normally distributed as the sample size increases. Specifically, the CLT indicates that for sample sizes of 30 or greater, the distribution of sample means can be approximated as a normal distribution. An example is provided to calculate the probability of a sample mean falling between two values using the normal approximation when the sample size i

Author

Miteigi

Language

EN