Phase 3 Individual Project Christopher Addison Instructor: conclave Velic MGMT600-1203B-04 Applied Managerial Decision-Making Colorado Technical University Online September 10, 2012 Non-parametric erect Company W is looking at testing that ab prohibited new gross gross revenue enhancement software. Company Ws gross sales deposit equals around five-hundred mass and is divided into four regions Northeast, S verbotenheast, Central, and West. The sales people are all(prenominal) expected to take the convergence and all sell the same amount. Only half of the sales representatives authentic the software in each region to dish them palm their contacts. The VP of Sales at WidgeCorp, who is comfortable with statistics, deprivations to know the achievable invalid and alternative hypotheses for a non-parametric test on this information apply the chi-square distri preciselyion (CTU 2012). The non-parametric test is used when the selective information is sof t and categorical as it refers to gender, age group, region, and color. The test is used when at that place is no sense in the mean of such variables. This spate be done by taking the chi-square distri saveion divisor and development the information that has been provided for us we can figure out how to start our null and alternative hypotheses. Non-parametric test are alike referred to as distribution free tests.

These tests have the obvious favor of not requiring the assumption of normality or the assumption of homogeneousness of divergence They compare medians other than means and, as a result, if the data have one or two outliers, their form is negated (Unknown 2012). Wha t we get out be doing is selecting a sample! that is stochastic from the race as a whole with a deviation that equals a with the random sample equaling n. So what this means is that the deviation is breathing out to equal is s. This means using the chi-square there is the equation of x2= [(n 1) * s2] / 2a. If we took the prise of chi square as less than the table valuate we will accept or keep the null hypothesis, but if we change and take the chi square as greater...If you motive to get a full essay, order it on our website:
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