Definition/scenario When comparing the mean age of persons in the BSHM program by race/ethnicity (black, white, Hispanic, other) controlling for the effect of gender, we will need to use a one-way ANOVA Post-hoc comparisons are often performed when the ANOVA test is not statistically significant to help understand why no differences was observed between groups The standard error is an accurate indicator of sampling error We use a T test over Z test because we do not know the population mean The paired T test is the preferred method to use when we want to compare the means of the two samples that are independent from each other Analysis of variance involves the use of the F statistic When comparing the mean level of blood pressure among two groups, the T test and ANOVA will always result in similar results. If we conduct 100 studies, 5% of the time we will find a difference by chance when we set significance level at 0.01 level The probability of rejecting H0 when HA is true is called type II error Independent sample t test is used to compare a continuous variable only among two groups while analysis of variance is used to