Calculus and Above

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I am asking for Ryans help I could not get the whole problem in here 10.55 Consider an experiment with four groups, with eight values in each. For the ANOVA summary table below, fill in all the missing results: Source Degrees of Freedom Sum of Squares

Mean Square (Variance) F Among groups c - 1 = ? SSA = ? MSA = 80 FSTAT = ? Within groups n - c = ? SSW = 560 MSW = ? Total n - 1 = ? SST = ? 10.57 The Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from

20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of a. Complete the ANOVA summary

table. b. At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety experienced by different majors? c. If the results in (b) indicate that it is appropriate, use the Tukey-Kramer procedure to determine which majors

differ in mean computer anxiety. Discuss your findings. 10.59 A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three satellite locations. Management had a business objective of reducing waiting time

for emergency room cases that did not require immediate attention. To study this, a random sample of 15 emergency room cases that did not require immediate attention at each location were selected on a particular day, and the waiting time (measured from check-in

to when the patient was called into the clinic area) was measured. The results are stored in ERWaiting a. At the 0.05 level of significance, is there evidence of a difference in the mean waiting times in the four locations? b. If appropriate, determine which

locations differ in mean waiting time. c. At the 0.05 level of significance, is there evidence of a difference in the variation in waiting time among the four locations? 10.61 The per-store daily customer count (i.e., the mean number of customers in a store

in one day) for a nationwide convenience store chain that operates nearly 10,000 stores has been steady, at 900, for some time. To increase the customer count, the chain is considering cutting prices for coffee beverages. The question to be determined is how

much to cut prices to increase the daily customer count without reducing the gross margin on coffee sales too much. You decide to carry out an experiment in a sample of 24 stores where customer counts have been running almost exactly at the national average

of 900. In 6 of the stores, the price of a small coffee will now be $0.59, in 6 stores the price of a small coffee will now be $0.69, in 6 stores, the price of a small coffee will now be $0.79, and in 6 stores, the price of a small coffee will now be $0.89.

After four weeks of selling the coffee at the new price, the daily customer count in the stores was recorded and stored in . coffee sales a. At the 0.05 level of significance, is there evidence of a difference in the daily customer count based on the price

of a small coffee? b. If appropriate, determine which prices differ in daily customer counts. c. At the 0.05 level of significance, is there evidence of a difference in the variation in daily customer count among the different prices? d. What effect does your

result in (c) have on the validity of the results in (a) and (b)? 11.25 Where people turn for news is different for various age groups. A study indicated where different age groups primarily get their news: AGE GROUP MEDIA Under 36 36–50 50_ Local TV 107 119

133 National TV 73 102 127 Radio 75 97 109 Local newspaper 52 79 107 Internet 95 83 76 At the 0.05 level of significance, is there evidence of a significant relationship between the age group and where people primarily get their news? If so, explain the relationship.

Mean Square (Variance) F Among groups c - 1 = ? SSA = ? MSA = 80 FSTAT = ? Within groups n - c = ? SSW = 560 MSW = ? Total n - 1 = ? SST = ? 10.57 The Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from

20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of a. Complete the ANOVA summary

table. b. At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety experienced by different majors? c. If the results in (b) indicate that it is appropriate, use the Tukey-Kramer procedure to determine which majors

differ in mean computer anxiety. Discuss your findings. 10.59 A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three satellite locations. Management had a business objective of reducing waiting time

for emergency room cases that did not require immediate attention. To study this, a random sample of 15 emergency room cases that did not require immediate attention at each location were selected on a particular day, and the waiting time (measured from check-in

to when the patient was called into the clinic area) was measured. The results are stored in ERWaiting a. At the 0.05 level of significance, is there evidence of a difference in the mean waiting times in the four locations? b. If appropriate, determine which

locations differ in mean waiting time. c. At the 0.05 level of significance, is there evidence of a difference in the variation in waiting time among the four locations? 10.61 The per-store daily customer count (i.e., the mean number of customers in a store

in one day) for a nationwide convenience store chain that operates nearly 10,000 stores has been steady, at 900, for some time. To increase the customer count, the chain is considering cutting prices for coffee beverages. The question to be determined is how

much to cut prices to increase the daily customer count without reducing the gross margin on coffee sales too much. You decide to carry out an experiment in a sample of 24 stores where customer counts have been running almost exactly at the national average

of 900. In 6 of the stores, the price of a small coffee will now be $0.59, in 6 stores the price of a small coffee will now be $0.69, in 6 stores, the price of a small coffee will now be $0.79, and in 6 stores, the price of a small coffee will now be $0.89.

After four weeks of selling the coffee at the new price, the daily customer count in the stores was recorded and stored in . coffee sales a. At the 0.05 level of significance, is there evidence of a difference in the daily customer count based on the price

of a small coffee? b. If appropriate, determine which prices differ in daily customer counts. c. At the 0.05 level of significance, is there evidence of a difference in the variation in daily customer count among the different prices? d. What effect does your

result in (c) have on the validity of the results in (a) and (b)? 11.25 Where people turn for news is different for various age groups. A study indicated where different age groups primarily get their news: AGE GROUP MEDIA Under 36 36–50 50_ Local TV 107 119

133 National TV 73 102 127 Radio 75 97 109 Local newspaper 52 79 107 Internet 95 83 76 At the 0.05 level of significance, is there evidence of a significant relationship between the age group and where people primarily get their news? If so, explain the relationship.

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