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Mba 501

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MBA/510 Concept Outline

Week Four—ANOVA and Nonparametric Testing

1 Concept Outline

1. Apply the output from an Analysis of Variance (ANOVA) to solve a business problem
a. F distribution (Lind Chapter 12)
b. Comparing two population variances (Lind Chapter 12)
c. ANOVA assumptions (Lind Chapter 12)
d. ANOVA test (Lind Chapter 12)
e. Inferences about pairs of treatment means (Lind Chapter 12)
2. Apply nonparametric tests in solving business problems
a. Chi-square applications (Lind Chapter 15)
1) Goodness-of-fit test: equal expected frequencies
2) Goodness-of-fit test: unequal expected frequencies
3) Limitations of chi-square
4) Contingency table analysis
b. Analysis of ranked data (Lind Chapter 16)
1) Wilcoxon signed-rank test
2) Wilcoxon rank-sum test
3) Kruskal-Wallis test: analysis of variance by ranks

Running head:  GAP ANALYSIS: USAuto

Gap Analysis: USAuto
Your Name Goes Here
University of Phoenix

 
Gap Analysis: USAuto
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Situation Analysis
Issue and Opportunity Identification
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Stakeholder Perspectives/Ethical Dilemmas
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End-State Vision
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Gap Analysis
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Conclusion
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References
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