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Guide to Using Excel 2007 For Basic Statistical Application Guide to Using Excel 2007 For Basic Statistical Application

Guide to Using Excel 2007 For Basic Statistical Application - PowerPoint Presentation

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Uploaded On 2015-11-27

Guide to Using Excel 2007 For Basic Statistical Application - PPT Presentation

To Accompany Business Statistics A Decision Making Approach 8th Ed Chapter 17 Introduction to Nonparametric Statistics By Groebner Shannon Fry amp Smith PrenticeHall Publishing Company ID: 207369

future test vision amalgamated test future amalgamated vision wallis excel kruskal file sugar mann xls cable large whitney data

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Slide1

Guide to Using Excel 2007 For Basic Statistical Applications

To AccompanyBusiness Statistics: A Decision Making Approach, 8th Ed.Chapter 17:Introduction to Nonparametric StatisticsByGroebner, Shannon, Fry, & SmithPrentice-Hall Publishing CompanyCopyright, 2011Slide2

Chapter 17 Excel ExamplesMann-Whitney

U-Test - Large Samples Future-VisionKruskal-Wallis Test Amalgamated SugarSlide3

Mann-Whitney Test - Large Samples - Future Vision

Issue: The managers of a local TV station believe median household income for cable subscribers is less than the median for those who do not subscribe. Objective: Use Excel 2007 to perform the appropriate nonparametric statistical test. Date file is Future-Vision.xlsRank file is Future-Vision-Ranks.xlsSlide4

Large Sample Mann-Whitney Test – Future Vision

Open the Excel file FutureVision.xls to view the actual data. Income data must be converted to ranks. Slide5

Large Sample Mann-Whitney Test – Future Vision

Open the Excel file Future-Vision-Ranks.xls to view the ranked data separated into Non Cable and Cable columns.Hypothesis will be:Ho: Medc > MedncHa: Medc

<

Med

nc

Slide6

Large Sample Mann-Whitney Test – Future Vision

Sum the ranks of each column to compute the U-value.Using equations 17.2 and 17.3 respectively, U(noncable) = 27,412U(cable) =30,764Need to look at the alternative hypothesis to decide which is UU(noncable) = U = 27,412Using Equations 17.4 and 17.5μ = 29,088; σ = 1,631.43Using Equation 17-6 z = -1.027Using α = -1.645

Do not reject the null hypothesis and conclude that noncable families having higher median incomes than cable families is not supportedSlide7

Kruskal-Wallis Test - Amalgamated Sugar

Issue: The company is interested in determining whether there is a difference in down-time between its three operational shifts.Objective: Use Excel 2007 to determine whether there is a statistically significant difference in downtime between the three shifts. Data file is Amalgamated.xlsSlide8

Kruskal-Wallis Test – Amalgamated Sugar

Open the file Amalgamated.xlsSlide9

Kruskal-Wallis Test – Amalgamated Sugar

Select Add-InsSelect PHStatSelect Multiple-Sample TestsSelect Kruskal-Wallis Rank TestSlide10

Kruskal-Wallis Test – Amalgamated Sugar

Define the Level of Significance and the Data RangeSlide11

Kruskal-Wallis Test – Amalgamated Sugar

The output presents:The H Test StatisticThe p-ValueThe correct Decision