Therefore, we need to report the t-value by selecting the second row of the table. (d) In this case study, the Mann-Whitney U test could be used to answer this question. Using independent samples, the nonparametric alternative to the t test is the Mann-Whitney U test. Instead of using the t test to compare the means of the two groups (males and females), we can compare the medians using the Mann-Whitney U test. The Mann-Whitney U test can be used to evaluate differences between two independent groups (males and females) on a continuous measure (the number of coffee consumptions per week). Using this method, you can convert coffee consumption scores into rankings between the two groups (males and females). There are several key points that can be addressed here. We are, for example, considering how men and women differ in their coffee drinking habits on a weekly basis. Another point is: do women consume more coffee per week than men? Therefore, we can evaluate whether the ranks for the two groups (males and females) represent a statistically significant difference or not. (a) In this case, it is important to know that you can approach the two-way ANOVA method