Ch5 Large-Sample Confidence Intervals for a Population Mean Video 1 of 6

This video explains how to find a confidence interval estimate of the mean of a population with specified confidence level from a large sample regardless of the population probability distribution. The central limit theorem is used to estimate the mean of a population with unknown probability distribution. It explains the difference between point estimate and confidence interval estimate. Practical examples are solved to clarify these concepts.