Introduction: Two Types of t Tests
A t test is appropriate when your analysis involves a single predictor variable that is measured on a nominal scale and assumes only one of two values (e.g., sex), and a single criterion variable that is measured on an interval or ratio scale (e.g., GRE scores). This statistical procedure is usually viewed as a test of group differences. For example, when experimental condition is the predictor variable and scores on an attitude scale are the criterion variable, you might want to know whether there is a significant difference between the experimental group and the control group with respect to their mean attitude scores. A t test can determine this.
There are actually two types of t tests that are appropriate ...
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