Applied Managerial Dision Making
Applied Managerial Decision Making
MGMT600-1301B-03
Phase 3 individual project
Rocklyn Kee
Colorado Technical University Online
Professor Donald Pratl
March 11, 2013
There are 500 employees in the sales force of Company W that are spread out over Southeast, Northeast, West, and Central regions. The company has recently incorporated a new software program in and attempt to monitor how many sales are generated by each employee. It is expected that each month each region should sell the same aamount of products. It has been noted that over the last three months however that this expectation has only been reached by half of the employees in each region. Before a decision can be made on possible theories as to why this is, some statistical testing must be done. Company W knows that there are different techniques that can be used to statistically analyze this issue. The one that we will be discussing here will be non-parametic statistics and hypoyhesis testing along with chi-square distribution testing of data. Let us begin by first defining these terms for a better understanding. * Hypothesis Testing
This is a technique that is applied sequentially by businesses in order to obyain concluions in regard to population utilizing information obtained from a sample. This information is gathered so as to enable a decision to be made as to the acceptance or rejection of the hypothesis by the researcher. The researcher makes a decision on two types of hypotheses the null (Ho) and the alternative (H1). The research is actually done on the null hypothesis, as this is the one that trys to reject the hypothesis statement by proving it to be untrue. The researchers testing end result will do one of two things accept or reject the null hypothesis statement. Should the statement be proving to be untrue and rejected, the alternative hypothesis would in turn then be accepted. CTU Online, (2013) * Non-parametric Statistics
This is what is known as an assessment to
MGMT600-1301B-03
Phase 3 individual project
Rocklyn Kee
Colorado Technical University Online
Professor Donald Pratl
March 11, 2013
There are 500 employees in the sales force of Company W that are spread out over Southeast, Northeast, West, and Central regions. The company has recently incorporated a new software program in and attempt to monitor how many sales are generated by each employee. It is expected that each month each region should sell the same aamount of products. It has been noted that over the last three months however that this expectation has only been reached by half of the employees in each region. Before a decision can be made on possible theories as to why this is, some statistical testing must be done. Company W knows that there are different techniques that can be used to statistically analyze this issue. The one that we will be discussing here will be non-parametic statistics and hypoyhesis testing along with chi-square distribution testing of data. Let us begin by first defining these terms for a better understanding. * Hypothesis Testing
This is a technique that is applied sequentially by businesses in order to obyain concluions in regard to population utilizing information obtained from a sample. This information is gathered so as to enable a decision to be made as to the acceptance or rejection of the hypothesis by the researcher. The researcher makes a decision on two types of hypotheses the null (Ho) and the alternative (H1). The research is actually done on the null hypothesis, as this is the one that trys to reject the hypothesis statement by proving it to be untrue. The researchers testing end result will do one of two things accept or reject the null hypothesis statement. Should the statement be proving to be untrue and rejected, the alternative hypothesis would in turn then be accepted. CTU Online, (2013) * Non-parametric Statistics
This is what is known as an assessment to
References: . CTU Online. (2013). Applied Managerial Decision Making www.ctuonline.edu Voelz, V., (2006). Hypothesis testing www.standford.edu