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PHE5020 – Week 2 Project

See Attached

Week 2 Project – Nonparametric Method

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.

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 a subset of exercise problems that must be completed.  There is a lot of course material regarding the distinctions between parametric and nonparametric statistics. The following 
table has been designed to help you understand the differences between both types.  (Attached)

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

The following 
video offers additional information on how to run a Wilcoxon signed-rank test within SPSS.

Use the SPSS 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. 

Submission Details:

· Name your SPSS output file 
SU_PHE5020_W2_A2a_LastName_FirstInitial.mtw.

· Name your document 
SU_PHE5020_W2_A2b_LastName_FirstInitial.doc.

· Submit your document to the 
Submissions Area by 
the due date assigned.

Part 2: Wilcoxon Rank-Sum Test

Let us consider another hypothetical situation. The WHO wants to compare the mortality rates of children under the age of five years of underdeveloped and developed regions of the world. There were two independent samples of ten countries from each of the groups drawn at the same time, and the yearly mortality rates of children under the age of five years (per 100,000) inhabitants were reported
.

Table 2: Mortality Rates of Children

Country

Underdeveloped

Developed

1

120

11

2

110

9

3

105

13

4

61

11

5

45

14

6

114

11

7

118

10

8

138

8

9

85

6

10

70

6

Information in Table 2 was entered into a SPSS dataset. The dataset contains two variables: (1) Region Type (Underdeveloped or Developed); and (2) mortality rate.

Click 
here to access the SPSS dataset.

Using the SPSS statistical analysis program perform the analysis, completing the following:

· Run the Wilcoxon rank-sum test to show whether there is a statistically significant difference between the mortality rates of children under the age of five years of the regions. Results may be used in making decisions regarding which region needs to receive help to improve the public health issues of morality.

· Obtain the difference in the mortality rates and whether there is a statistically significant difference.

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

Submission Details:

· Export your SPSS file (or cut and paste it) to a Microsoft Word file and name it 
SU_PHE5020_W2_A2c_LastName_FirstInitial.doc.

· Name your document S
U_PHE5020_W2_A2d_LastName_FirstInitial.doc.

· Submit your document to the 
Submissions Area by 
the due date assigned.

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