MKTG 376 Lecture Notes - Lecture 6: Null Hypothesis, John Tukey, Dependent And Independent Variables
Document Summary
Used as a test of means for 2+ populations (actually 3+) Null hypothesis, typically is that all means are equal. Must have a dependent variable that is metric. Measured using an interval or ratio scale. Must be one or more independent variables that are all categorical (nonmetric) Researchers are often interested in examining the differences in the mean values of the dependent variable for several categories of a single independent variable or factor. What is the effect of consumers" familiarity with the store affecting the preference for the store. Null: group 1 mean = group 2 mean = group 3 mean . If fail to reject the null, then the independent variable does not have a significant effect on the dependent variable. There are no differences between the groups on the dependent variable. If the null is rejected, then the effect of the independent variable is significant.
