T Test Vs Chi Square Vs Anova. Hypotheses about means metric interval or ratio one one sample t test is the purchase frequency different from 1 5. Nominal all chi square do customer industry types differ by company size.
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Hypotheses about means metric interval or ratio one one sample t test is the purchase frequency different from 1 5. Allows you to test whether or not there is a statistically significant difference between two population means. When you reject the null hypothesis of a t test for a difference in means it means the two population means are not equal.
Allows you to test whether or not there is a statistically significant difference between two population means.
It is also called an analysis of variance and is used to compare multiple three or more samples with a single test. When you reject the null hypothesis of a chi square test for independence it means there is a significant association between the two variables. Nominal all chi square do customer industry types differ by company size. Allows you to test whether or not there is a statistically significant difference between two population means.
