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Studying for the Final

Studying for the Final. http://diana-potrus.wikispaces.com/Student+Pages. http://www.shutterstock.com/pic-30485911/stock-photo-student-studying.html. ANOVA Table: Formulas. ANOVA Table: RCB. ANOVA Table: two-way. Summary Slide: SLR. ANOVA table - MRR. 1-sample  2 (univariate).

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Studying for the Final

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  1. Studying for the Final http://diana-potrus.wikispaces.com/Student+Pages http://www.shutterstock.com/pic-30485911/stock-photo-student-studying.html

  2. ANOVA Table: Formulas

  3. ANOVA Table: RCB

  4. ANOVA Table: two-way

  5. Summary Slide: SLR

  6. ANOVA table - MRR

  7. 1-sample 2 (univariate) An article reported the following frequencies with which ethnic characters appeared in recorded commercials that aired on Philadelphia television stations. In addition the 2000 census proportions for these four ethnic groups are in the line below that. Does the data suggest that the proportion in commercials are different from the census proportions using  = 0.01.

  8. 2-sample 2 (homogeneity) This is a study that compares the size of the left and right feet for both men and women who are right handed. Does the data suggest that gender has a strong effect on the development of foot symmetry using  = 0.05.

  9. 2-sample 2 (homogeneity) (cont)

  10. Proportions In a sample of 1000 randomly selected consumers who had opportunities to send in a rebate claim form after purchasing a product, 250 of these people said they never did so. • Calculate the 95% confidence interval for the true proportion of such consumers who apply for a rebate. • What sample size would be required for a width of 0.02. • Does the sample data indicate that the true proportion of consumers who send in rebates is smaller than 30%.

  11. Proportions In a sample of 1000 randomly selected consumers who had opportunities to send in a rebate claim form after purchasing a product, 250 of these people said they never did so. • Does the sample data indicate that the true proportion of consumers who send in rebates is smaller than 30%. • Does the sample data indicate that the true proportion of consumers who send in rebates is larger than 30%.

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