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 H_A 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 compare a continuous variable among two or more groups