As a result, 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. Used for independent samples, the nonparametric alternative to the t test is the Mann-Whitney U test. Rather than using the t-test to compare the means of the two groups (men and women), we can compare the medians using the Mann-Whitney U-test. The Mann-Whitney U test can be used to measure differences between two independent groups (men and women) on a continuous measure (the number of coffee consumptions per week). Using this method, one can convert coffee consumption scores into rankings between the two groups (men and women). Several key points can be addressed here. For example, we study differences between men and women in their coffee drinking habits on a weekly basis. Another point is: do women consume more coffee per week than men? Therefore, we can assess whether or not the rankings of the two groups (men and women) constitute a statistically significant difference. (a) In this case, it is important to know that the two-way ANOVA method can be discussed in this