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Question: A 2005 study found that 202 women


A 2005 study found that 202 women held board seats out of a total of 1,195 seats in the Fortune 100 companies. A 2003 study found that 779 women held board seats out of a total of 5,727 seats in the Fortune 500 companies. Treating these as random samples (board seat assignments change often), can we conclude that Fortune 100 companies have a greater proportion of women board members than the Fortune 500?

(a). State the hypotheses.
(b). Calculate the sample proportions.
(c). Find the test statistic and its p-value. What is your conclusion at α = .05?
(d). If statistically significant, can you suggest factors that might explain the increase? (Data are from The 2003 Catalyst Census of Women Board Directors of the Fortune 500, and “Women and Minorities on Fortune 100 Boards,” The Alliance for Board Diversity, May 17, 2005.)



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> Calculate the test statistic and p-value for a test of equal population proportions. What is your conclusion? a. Right-tailed test, α = .10, x1 = 228, n1 = 240, x2 = 703, n2 = 760 b. Left-tailed test, α = .05, x1 = 36, n1 = 80, x2 = 66, n2 = 120 c. Two-

> Repeat the previous exercise, assuming unequal variances. Calculate the p-value using Excel, and show the Excel formula you used. Previous exercise: Do a two-sample test for equality of means assuming equal variances. Calculate the p-value. a. Compari

> A newly installed automatic gate system was being tested to see if the number of failures in 1,000 entry attempts was the same as the number of failures in 1,000 exit attempts. A random sample of eight delivery trucks was selected for data collection. Do

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> A 20-minute consumer survey mailed to 500 adults aged 25–34 included a $5 Starbucks gift certificate. The same survey was mailed to 500 adults aged 25–34 without the gift certificate. There were 65 responses from the first group and 45 from the second gr

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> This table shows partial results for a one-factor ANOVA, (a). Calculate the F test statistic. (b). Calculate the p-value using Excel’s function 5F.DIST.RT (F,DF1,DF2). (c). Find the critical value F.05 from Appendix F or using Excel

> A manufacturing process drills holes in sheet metal that are supposed to be .5000 cm in diameter. Before and after a new drill press is installed, the hole diameter is carefully measured (in cm) for 12 randomly chosen parts. At α = .05, do

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> Consider a one-factor ANOVA with n1 = 9, n2 = 10, n3 = 7, n4 = 8. (a). How many possible comparisons of means are there? (b). State the degrees of freedom for Tukey’s T. (c). Find the critical value of Tukey’s T for α = .05.

> For each data set: (a) State the hypotheses. (b) Use Excel’s Data Analysis (or MegaStat or MINITAB) to perform the one-factor ANOVA, using α = .05. (c) State your conclusion about the population means. (d) Interpret th

> For each data set: (a) State the hypotheses. (b) Use Excel’s Data Analysis (or MegaStat or MINITAB) to perform the one-factor ANOVA, using α = .05. (c) State your conclusion about the population means. (d) Interpret th

> For each data set: (a) State the hypotheses. (b) Use Excel’s Data Analysis (or MegaStat or MINITAB) to perform the one-factor ANOVA, using α = .05. (c) State your conclusion about the population means. (d) Interpret th

> For each data set: (a) State the hypotheses. (b) Use Excel’s Data Analysis (or MegaStat or MINITAB) to perform the one-factor ANOVA, using α = .05. (c) State your conclusion about the population means. (d) Interpret th

> In a one-factor ANOVA with sample sizes n1 = 8, n2 = 5, n3 = 6, n4 = 6, the test statistic was Fcalc = 3.251. (a). State the hypotheses. (b). State the degrees of freedom for the test. (c). What is the critical value of F for α = .05? (d). What is y

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