The difference in the average volumes of Memphis and Louisville airports is

# The difference in the average volumes of memphis and

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The difference in the average volumes of Memphis and Louisville airports is almost 55% of average volume of Memphis airport. C. Develop a 95% confidence interval of the difference between the daily population means for the two airports. 17 . P eriodically, Merrill Lynch customers are asked to evaluate Merrill Lynch financial consultants and services (2000 Merrill Lynch Client Satisfaction Survey). Higher ratings on the client satisfaction survey indicate better service with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use = .05 and test to see
whether the consultant with more experience has the higher population mean service rating. Consultant A n1=16 xbar1= 6.82 s1=0.64 Consultant B n1=10 xbar1= 6.25 s1=0.75 a. State the null and alternative hypothesis. Ho: μA = μB Ha: μA > μB b. Compute the value of the test statistic. t-statistic = 1.992 c. What is the p-value? p-value = P(t > 1.992) = 0.031 d. What is your conclusion? Since the p-value is < 0.05, Reject Ho. There is significant evidence that the consultant with more experience has the higher population mean service rating. 13. The following data are from a completely randomized design. Treatment A Treatment B Treatment C 32 44 33 30 43 36 30 44 35 26 46 36 32 48 40 Sample Mean 30 45 36 Sample Variance6.00 4.00 6.50
At the a=.05 level of significance, can we reject the null hypothesis that the means of the three treatments are equal? The obtained SPSS output is given below, ANOVA Response Sum of Squares df Mean Square F Sig. Between Groups 570.000 2 285.000 51.818 .000 Within Groups 66.000 12 5.500 Total 636.000 14 Post Hoc Tests Multiple Comparisons Dependent Variable: Response LSD (I) {1=A,2=B,3=C} (J) {1=A,2=B,3=C} Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound 1 2 -15.00000 * 1.48324 .000 -18.2317 -11.7683 3 -6.00000 * 1.48324 .002 -9.2317 -2.7683 2 1 15.00000 * 1.48324 .000 11.7683 18.2317 3 9.00000 * 1.48324 .000 5.7683 12.2317 3 1 6.00000 * 1.48324 .002 2.7683 9.2317 2 -9.00000 * 1.48324 .000 -12.2317 -5.7683 *. The mean difference is significant at the 0.05 level.

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• Fall '02
• Staff
• Statistics, Statistical hypothesis testing, consultant, population mean duration