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Central Limit Theorem in Biostatistics by Elena Olmedo is a document available to read on EtoBox.

What is Central Limit Theorem in Biostatistics about?

The document discusses the central limit theorem and sampling distributions. It explains that when random samples are taken from a population, the sampling distribution of the mean will be normally distributed regardless of the shape of the population, as long as the sample size is sufficiently large. It also provides an example of taking random samples of 10 people and calculating the mean net worth, and discusses the sampling distribution that would result from rolling a dice 80 times and calculating the

Author

Elena Olmedo

Language

EN