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

CityBeforeAfter1110552240753681541001051202161101171414181135911213101108

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.