'Applied Managerial Dision Making\r'

'use managerial Decision Making MGMT600-1301B-03 degree 3 individual project Rocklyn Kee carbon monoxide gas Technical University Online Professor Donald Pratl March 11, 2013 on that point atomic number 18 500 workees in the gross gross sales force of Company W that atomic number 18 spread out everywhere Southeast, Northeast, West, and important parts. The company has recently incorporated a modern softw ar program in and attempt to monitor how many sales are generated by each employee. It is expect that each month each region should sell the same aamount of products.It has been noned that over the last three months however that this mind-set has only been reached by half of the employees in each region. Before a last potty be do on possible theories as to why this is, some(prenominal) statistical exam must be done. Company W knows that there are different techniques that can be use to statistically analyze this trim down. The one that we provide be discussing here testament be non-parametic statistics and hypoyhesis interrogatory 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 influence to obyain concluions in take to population utilizing tuition obtained from a sample. This info is gathered so as to alter a conclusion to be made as to the eat upance or close oution of the supposition by the detective. The police detective makes a decision on two types of hypotheses the nonentity (Ho) and the substitute (H1). The research is actually done on the void speculation, as this is the one that trys to reject the hypothesis program line by proving it to be out of true.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 alternate(a) hypothesis would in produce then be accepted. CTU Online, (2013) * Non-parametric Statistics This is what is knget as an assessment to categorically apply schooling. The informationcan be no. or nominal. The researcher will be allocated to classify information that is presented as qualitative for variables that are nominal, while the researcher will be allocated by ordinal variables th categorize the presented information so it can be ranked. at that place will be no formulated statements from non-parametric compend in regard to the information that is presented by the researcher. The ANOVA, ( compendium of variation) is a commomlly used method of non-parametric. The researcher does an analysis with the ANOVA to see if there is a differentation among groups, and if the mean of them are the same. With a null hypothesis the ANOVA will ascertain if the information that has been presented has the same means, while with the substitute(a) hypothesis it will determine if the information has defferent means.CTU Online, (2013) There is a one behavior method and a two carriage method for an ANOVA analysis that can be used by the researcher. There is only one factor for the researcher to test for equality of the presented information in the one agency method, and the two way mwthod allows for distinguishing if there may be former(a) factor. * Chi-Square Distribution Use Two types of information can typically be generarted when variables lay down no pattern, categorical or numeric. Researchers’ employ using the chi-square distribution in order to unmask the distinctions and to see if they are independent.Categorical variables are specific variables with no fixed numerical value, and numerical type variables are numerical. In this regard there are suspicion asked like, what type of work do you do, or do you own a fomite? These types of questions are categorical variables because of the answers which would be for example, social organisation and yes or no, which are diffe rent responses from that of other questions like, what is your weight or what is your GPA? , that are numerical variables. These can be continious or distinguishable, for instance; how many homes do you own? This is discrete.What is you height? This is continious. The counting of concomitant things is where the discrete data comes, and measuring a particular thing is where the continious data comes. CTU Online, (2013) * Using Chi-Square epitome There can be a fluctuating in the testin using of the chi-square analysis based on the collected information, such(prenominal) as in this case of the representatives that reached the quotas and those who did not. In relation to the null hypothesis the statement would be, the sales representatives using the new sales bundle were able to meet their sales quotas vs. he sales representative not using the new sales bundle where not able to meet their quotas. The null in this statement cannot be be to be true, because there is no proofread t hat the sales representatives that used the new software were the ones to meet their quotas and the ones not using it where the ones who did not. theory here is that the null hypothesis is false, and the alternative hypothesis is accepted. This means that the same amounts of products were not sold by representatives using the new sales software.To develop statements of truth in regard to issues and problems in order to accurately classify is why researchers do hypothesis testing. The researcher has to have a plump out understanding of the question or issue in odere to collect, analyize, and interpret data. A researcher has to analyze different theories statistically in order to be useful in educated business decisions making. Voelz, V. , (2006) References: . CTU Online. (2013). Applied Managerial Decision Making www. ctuonline. edu Voelz, V. , (2006). Hypothesis testing www. standford. edu\r\n'