This page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's d as an effect s...This page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's d as an effect size measure and highlights the importance of equal variance assumptions. The text specifies distribution characteristics for various statistical tests, such as the Student's t-distribution and normal distribution based on data conditions.
This page discusses the F test for comparing two variances, emphasizing normal distribution assumptions. It includes one-way ANOVA, which compares multiple groups under similar conditions. The F stati...This page discusses the F test for comparing two variances, emphasizing normal distribution assumptions. It includes one-way ANOVA, which compares multiple groups under similar conditions. The F statistic, the ratio of variation between group means to within-group variation, is introduced. The positively skewed F distribution is explained, along with the relationship between the null hypothesis and the F statistic.
