Determine whether building these systems helped reduce new cases of malaria
Dear writer, refer to the models that I uploaded to you. Please, remember to avoid similarities, 21% or less required, that is why I look for help, the instructor is the same. Than you
Week 2: Project Assignment due august 27, 2019
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.
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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