Confidence Interval Estimation Sigma Known

This tutorial introduces the concept of Confidence Interval Estimation, and the case of Sigma Known is illustrated. 90%, 95% and 99% confidence intervals are discussed. The values for Z are obtained using a Z table, and this is demonstrated quite a few times to reinforce an understanding of how to look up areas under the normal distribution curve. The level of significance, denoted by alpha, is discussed, and shown in the tail areas of the distribution curve. The idea of splitting alpha in half between the two tails is also introduced. This tutorial offers a good review of some of the basic concepts of sampling and sampling distribution, and then builds on those concepts to teach confidence interval estimation for sigma known cases.