Company W

Company W wants to start testing a new software program within their four regions, Northeast, Southeast, Central and West. Each person in sales is required to have the same sales amount of product, however during the last 3months, only half of the sales representatives we given the software programs to help them manage their contacts.   Due to this the VP of sales at Widgecorp wants to know all possible theories that can be put into place. This includes any statistical analysis that will explain why some of the sales representatives are not meeting their intended goals for the month. In order for a decision to be made on this issue, statistical testing must be completed in order for a more accurate conclusion can be made. There are different techniques that can be used for Company W to identify the statistical analysis to this matter. I will use the non-parametric statistics and hypothesis testing, these along with the chi-square distribution testing of data as the choices for this discussion. I first need to describe what each of these terms mean.
Hypothesis Testing
This is a technique that applies by businesses consecutively to acquire conclusions regarding population developing information taken from an example or sampling of a test data. The information taken from an example is collected so that a conclusion can be made by the analysis to either accept or reject the hypothesis. We have already discussed in other meetings, the null and alternative hypothesis, these terms fall into this category.   As you might remember the null hypothesis is what the analysis is testing, trying to make the test false. In the conclusion of the test the analysis will either accept or reject the null hypothesis statement. The result will be the alternative hypothesis is the findings are false and rejected by the analysis.

Non-Parametric Statistics
This is an assessment that applies information categorically, resulting in a nominal or ordinal. The nominal pertains to one...