Determine whether building these systems helped reduce new cases of malaria.•The Wilcoxon signed-rank test: The Wilcoxon signed-rank test is the nonparametric test analog of the paired t-test. Assignment 2: Dropbox Assignment

Determine whether building these systems helped reduce new cases of malaria.•The Wilcoxon signed-rank test: The Wilcoxon signed-rank test is the nonparametric test analog of the paired t-test.
Assignment 2: Dropbox Assignment

This assignment focuses on nonparametric methods. When a researcher is not in a situation to be able to assume parametric statistical methods requirements, known distribution, or dealing with small sample size, then nonparametric statistical methods need to be used, which make fewer assumptions about the distributional shape.

Click here to install Minitab Software.

Nonparametric Methods

In this assignment, we will use the following nonparametric methods:
•The Wilcoxon signed-rank test: The Wilcoxon signed-rank test is the nonparametric test analog of the paired t-test.
•The Wilcoxon rank-sum test or the Mann-Whitney U test: The Wilcoxon rank-sum test is an analog to the two-sample t-test for independent samples.

For each exercise, there will be a sample problem that shows how the calculations are done and the problems for you to work on.

Part 1: Wilcoxon Signed-Rank Test

Let’s take a hypothetical situation. The World Health Organization (WHO) wants to investigate whether building irrigation systems in an African region helped reduce the number of new cases of malaria and increased the public health level.

Data was collected for the following variables from ten different cities of Africa:
•The number of new cases of malaria before the irrigation systems were built
•The number of new cases of malaria after the irrigation systems were built

Table 1: Cases of Malaria

City Before After
1 110 55
2 240 75
3 68 15
4 100 10
5 120 21
6 110 11
7 141 41
8 113 5
9 112 13
10 110 8

Using the Minitab statistical analysis program to enter the data and perform the analysis, complete the following:
•Run a sample Wilcoxon signed-rank test to show whether there is a statistically significant difference between the number of cases before and after the irrigation systems were built.
•Obtain the rank-sum.
•Determine the significance of the difference between the groups.
•Determine whether building these systems helped reduce new cases of malaria.

In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format.

Refer to the Assignment Resources: Wilcoxon Signed-Rank Test Example to view an example of the Wilcoxon signed-rank test. The same resource is also available under lecture Nonparametric Methods.

Submission Details:
•Name your Minitab output file SU_PHE5020_W2_A2a_LastName_FirstInitial.mtw.
•Name your document SU_PHE5020_W2_A2b_LastName_FirstInitial.doc.
•Submit your Minitab output file and document separately to the W2 Assignment 2 Dropbox by Saturday, December 12, 2015.

Explanation & Answer

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