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## Week 4 Non-parametric Hypothesis Testing Team Paper (Wages) Teacher Comments

by: smartwriter Notetaker

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# Week 4 Non-parametric Hypothesis Testing Team Paper (Wages) Teacher Comments

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smartwriter Notetaker
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Week 4 Non-parametric Hypothesis Testing Team Paper (Wages) Teacher Comments
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Date Created: 11/16/15
1 Nonparametric Hypothesis Testing Nonparametric Hypothesis Testing Paper Names University of Phoenix Research and Evaluation 11 RES 342 Teacher 2 Nonparametric Hypothesis Testing We are all aware that gas prices are extremely high People are spending more on gas just to drive to work every day The same can be said for buying groceries with prices continuing to rise people are choosing the less popular brands to save money In the week 4 team assignment team B compared data from each team member on historical gas purchases groceries and sales performance We chose one set of data to develop a Chi Squared Equal Expected analysis at a 005 variance Our goal is to determine if a frequency in distribution has occurred The process starts with a null hypothesis H0 there is no significant difference between observed and expected frequencies and an alternative hypothesis H1 there is a significant difference Depending on the results we find we can either reject the null hypothesis or fail to reject the null hypothesis The Null hypothesis will indicate whether the observed values are close to the predicted values If the team chooses the alternative hypothesis than the determination that is made will not be close to those originally indicated A chisquare test is one that determines whether or not there is significance in what is observed and what is expected In the information that follows the team is comparing non parametric samples of what we observed over a three to six month period and what the frequency is The following is our hypothesis statement Chi Squared analysis and our findings In the following chi squared analysis chart we will determine whether or not there is a significant frequency in monies spent on gas and groceries over the noted period of time and a difference in sales performance The null hypothesis for this paper is that the amount of monies spent on gas and groceries has 3 Nonparametric Hypothesis Testing gone up or affected sales performance The alternative hypothesis to be tested is that the amount of monies spent on gas and groceries has increased and has had an effect on sales performance Each member contribute to the Team forum non parametric samples for 5 months of sales performance at work 6 months of monthly groceries s 5 months of gas purchases 3 weeks of numbers of email sent Team B then selected the Best one 5 months of gas purchases generate a Chi Squared Equal Expected frequency analysis at the 005 alpha to determine if there is variance in the distribution of What is measured or not Gas purchas Team B es 100 Lenore 0 150 Trlsh 0 Lasonia 800 330 4 Nonparametric Hypothesis Testing Chi Squared fo 2 f0 fe fo fe feFfe Gas purchases 100 164 39 Lenore 0 0 40968 24982 150 164 Trish 0 01960011952 164 LasonIa 800 0 840 43020 6919 THIS IS INCORRECT 33003 1100 not 1640 xzcalc2 fo fe2fe 691 Five steps 1 add column 1 3300 2 divide by k sample size fe 33002 1650 1 5 Nonparametric Hypothesis Testing 1640 3 add value 1640 in fe column 4subtract fo from fe and square result then divide by fe 5 see chi squared table for X2crit value for kl 2 n k 599 Explain Chi Squared Ho There is no difference between observed and Expected Frequencies H1 There is a difference between observed and Expected Frequencies a005 X2calc Z fO39fe 2fe Form a decision rule from a005 and Deg Of Freedom kl KSample Size chritgtX2caC then do not reject Null nothing Changed chritltX2caC then reject Null something Changed Decision X2crit 599 lt X2calc 6919 and X2crit lt X2calc then reject the null something changed The 005 alpha shows that gas purchases was not evenly distributed 6 Nonparametric Hypothesis Testing and there is variance H1 There is a difference between observed and expected frequencies The Two or More Sample Hypothesis Testing results from the Team B Assignment from Week Three explains the research performed and whether there is a difference in miles traveled based on the performance of the engines in different buses To determine the results there were three separate typed of buses used MCI Nova and NABI The engines tested are Detroit Cummins and Catepillar The test is done on Excel ANOVAs 2007 using the twofactor without replication to determine if the performance of the different buses and different engines show any variances in the performance of the bus by brand and is there any variance in performance by engine type At the 005 alpha the Bus treatments Fl409 is lt Fcrit 6944 means do not reject null hypothesis did not have any effect on the variance in the performance of the bus by brand MCI NOVA and NABI At the 005 alpha the Engine blocks F 23091 is gt Fcrit 6944 reject the alterative null hypothesis it would be there is an effect on the variance in 7 Nonparametric Hypothesis Testing performance by engine type of Detroit Cummins and Caterpillar Why is this in week 4 paper References Deane D P amp Seward LE 2007 Applied statistics in business and economics Boston MA McGraw HilUIrwin Chapter 12 Information retrieved January 31 2011 Parkes J 2011 Week Three Lecture for Research and Evaluation 342 Retrieved January 31 2011 from AXia College CHI SQUAREDbothdoc40kb Your analysis is fair your math is not though I get ChiSquared Calc 236 also the reference for my paper did not come from AXia 810

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