About this document
Central Limit Theorem Explained by Preet Rajdeo is a document available to read on EtoBox.
1) The Central Limit Theorem states that as sample size increases, the distribution of sample means will become increasingly normal, regardless of the population distribution. 2) It defines a sampling distribution as the distribution of a statistic for all possible samples from the same population of a given size. 3) An example problem calculates the number of standard errors a sample mean of tree heights is from the population mean, finding the sample is relatively close to the population distribution.
- Author
- Preet Rajdeo
- Language
- EN