A marketing study was conducted to compare the mean age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female
Purchasers of the product. It was desired to test to determine if the distribution of ages of all
Female purchasers was shifted to the right of the distribution of ages of all male purchasers. What
Type of nonparametric analysis should be used?
A) The Wilcoxon Signed Rank Test
B) The Sign Test
C) The Kruskal-Wallis H-Test
D) The Wilcoxon Rank Sum Test
E) The Friedman $\mathrm { F } _ { \mathrm { r } ^ { - } }$Test

Question

A marketing study was conducted to compare the mean age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female
Purchasers of the product. It was desired to test to determine if the distribution of ages of all
Female purchasers was shifted to the right of the distribution of ages of all male purchasers. What
Type of nonparametric analysis should be used? 
A) The Wilcoxon Signed Rank Test
B) The Sign Test
C) The Kruskal-Wallis H-Test
D) The Wilcoxon Rank Sum Test
E) The Friedman $\mathrm { F } _ { \mathrm { r } ^ { - } }$Test

Quizplus · Accepted Answer

The Wilcoxon Rank Sum Test is appropriate for comparing the distributions of two independent samples, which aligns with the scenario of comparing the mean age of male and female purchasers. This test does not assume normal distribution and is used to determine if there is a significant difference between the two distributions, making it suitable for testing if the distribution of ages of female purchasers is shifted to the right of the distribution of ages of male purchasers.

A Marketing Study Was Conducted to Compare the Mean Age Fr−\mathrm { F } _ { \mathrm { r } ^ { - } }Fr−​

A Marketing Study Was Conducted to Compare the Mean Age $\mathrm { F } _ { \mathrm { r } ^ { - } }$