ABSTRACT
In this chapter, we will use a number of statistics to compare groups. In Problem 1, we will use a one-sample t test to compare one group or sample to a hypothesized population mean. Then we will examine two parametric and two nonparametric/ordinal statistics that compare two groups of participants. Problem 2 compares two independent groups (between groups design), males and females, using the independent samples t test. Problem 3 uses the Mann-Whitney nonparametric test, which is similar to the independent t test. Problem 4 is a within subjects design that uses a paired samples t to compare the average levels of education of students’ mothers and fathers. Problem 5 will also use the paired t but, in this case, to check the reliability of a repeated measure, namely the visualization test and visualization retest. Problem 6 shows how to use the nonparametric Wilcoxon test for a within subjects design.
