Descriptive Statistics

This table displays descriptive statistics for each combination of factors in the model.

There seems to be a Shopping style effect; on average, "biweekly" customers spend $378.52, while "weekly" customers spend $404.55, and "often" customers spend $406.76. There also appears to be a Gender effect; on average, males in the sample spend $430.30 compared to $365.66 for females. Lastly, there may be an interaction effect between Gender and Shopping style, because the mean differences in amount spent by shopping style vary between genders. For example, "biweekly" male customers tend to spend more than "often" male customers, but this trend is reversed for "biweekly" and "often" female customers.

The N column in the table shows there are unequal cell sizes. Most customers prefer to shop on a weekly basis. The standard deviations appear relatively homogenous, although you should check Levene's test and the spread-versus-level plots to be sure.

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