Statistics II course cover the following main topics: Sampling Methods and the Central Limit Theorem; Estimation and Confidence Intervals; One-Sample and Two-Sample Test of Hypothesis; Goodness of Fit Tests; Analysis of Variance; Procedure for Testing a Hypothesis; Testing for a Population Mean; Limitations of Chi-square; Analysis of Variance; Inferences about Pairs of Treatment Means; F-Distribution; Testing the hypothesis of equal population variances; Value in Hypothesis Testing. Choosing an Appropriate Sample Size; Confidence Interval.
- Teacher: Dr. Lawrence Farinola