Statistical Tests for Experiments with Three or More Samples
In the last section we discussed the independent groups t-test and the correlated groups t-test. Those tests are generally applicable to experimental designs with two groups of data. In this section, we are going to review the one-way ANOVA test, which is useful in experimental designs with three or more groups. Our primary interest here is to determine if there are significant differences between these groups with respect to one particular variable.
An Example Problem
- {{{ In last year's BCS 200 class, we collected data on students' TV watching habits (# hours watched per week) and their majors. Below is tabulated a subset of the data on # of TV hours watched grouped by student major. All but five students in the class were NSC or BCS majors, so we randomly selected 5 NSC majors, 5 BCS majors and all 5 "other" majors to use as sample data for this problem. The data (# of TV hours watched) grouped by major for these 15 students is listed below.
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