A local real estate appraiser analyzed the sales prices of homes in 2 neighborhoods to the corresponding appraised values of the homes.The goal of the analysis was to compare the distribution of sale-to-appraised ratios from homes in the 2 neighborhoods.Random and independent samples were selected from the 2 neighborhoods from last year's homes sales, 8 from each of the 2 neighborhoods.Identify the nonparametric method that would be used to analyze the data.
A) -test for the differences between two proportions
B) -test for the differences among more than two proportions
C) -test for independence
D)the Wilcoxon Rank Sum Test, using the test statistic T1

Question

A local real estate appraiser analyzed the sales prices of homes in 2 neighborhoods to the corresponding appraised values of the homes.The goal of the analysis was to compare the distribution of sale-to-appraised ratios from homes in the 2 neighborhoods.Random and independent samples were selected from the 2 neighborhoods from last year's homes sales, 8 from each of the 2 neighborhoods.Identify the nonparametric method that would be used to analyze the data.
A) -test for the differences between two proportions 
B) -test for the differences among more than two proportions 
C) -test for independence 
D)the Wilcoxon Rank Sum Test, using the test statistic T1

Quizplus · Accepted Answer

The question asks for a nonparametric method for comparing the distribution of sale-to-appraised ratios from homes in the two neighborhoods. The Wilcoxon Rank Sum Test (also known as the Mann-Whitney U Test) is a nonparametric test used to compare two independent samples, and it is appropriate for comparing the distributions of ratios. Therefore, D is the best choice. The Wilcoxon Rank Sum Test (also known as Mann-Whitney U Test) is a nonparametric method used to compare two independent groups. In this scenario, the goal is to compare the distribution of sale-to-appraised ratios from homes in the two different neighborhoods. Therefore, the Wilcoxon Rank Sum Test using the test statistic T1 would be appropriate for analyzing the data.

A Local Real Estate Appraiser Analyzed the Sales Prices of Homes