Bivariate inductive statistics - interval and nominal variables - independent groups

One-Way ANOVA

The one-way analysis of variance compares the means of three or more groups to determine if at least one group mean is different from the others. The F-ratio is used to determine statistical significance. The tests are nondirectional in that the null hypothesis specifies that all means are equal and the alternative hypothesis simply states that at least one mean is different. Besides random and independent samples ANOVA assumes that the data follow the normal probability distribution and the variances of the populations are equal. Tests of these two assumptions will be made automatically. For non-normal data you can use non-parametric Kruskal-Wallis test. Kruskal-Wallis test compares medians and works with ranks instead of original data.

Example: Is there relationship between number of products sold and the color of the package?