Reference no: EM13557645

This problem 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

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.

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.

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 (MRate1 and MRate2).

Table 2: Mortality Rates of Children

Country	MRate1	MRate2
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

Using the Minitab statistical analysis program to enter the data and perform the analysis, complete 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.