Explanation Calculation: The data represent the miles-per-gallon reports obtained for two hybrid small cars, two hybrid midsize cars, two hybrid small SUVs, and two hybrid midsize SUVs. Factor A is the class of vehicle tested (small car, midsize car, small SUV, and mid-size SUV). Factor B is type (Hybrid or conventional). State the hypotheses: Main effect of factor A: Null hypothesis: H 0 : There is no significant difference in the means of “Class”. Alternative hypothesis: H a : There is a significant difference in the means of “Class”. Main effect of factor B: Null hypothesis: H 0 : There is no significant difference in the means of “Type”. Alternative hypothesis: H a : There is a significant difference in the means of “Type”. Interaction effects: Null hypothesis: H 0 : There is no interaction between Factor A (class) and Factor B (type). Alternative hypothesis: H a : There is an interaction between Factor A (class) and Factor B (type). Factorial experiment: Software procedure: Step-by-step procedure to obtain a Factorial experiment using the EXCEL: Open new EXCEL worksheet . Enter the data values in the EXCEL sheet same as given. On Data tab in Analysis group, click Data Analysis. Select Anova: Two-Factor with Replication. Click Ok. Click in the Input Range box , select the range $A$1: $C$7 . Click in the Rows per sample, Enter 2. Select Labels and Enter Alpha as 0.05. Click in the Output range, select $G$1. Click OK . Output using the EXCEL software is given below:

Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)

6th Edition

ISBN: 9781337115186

Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran

Publisher: Cengage Learning

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Chapter 13.5, Problem 32E

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Test whether there is any significant effects due to class, type, and interaction effects at α=0.05 level of significance.

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Chapter 13.5, Problem 31E

Chapter 13.5, Problem 33E

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14 A survey is conducted to determine whether would prefer to work at home, if given the 20 office employees of a certain company chance. The overall results are shown in the first bar graph, and the results broken down by gender are presented in the second. a. Interpret the results of each graph. b. Discuss the added value in including gen- der in the second bar graph. (The second bar graph in this problem is called a side by side bar graph and is often used to show results broken down by two or more variables.) c. Compare the side by side bar graph with the two pie charts that you made for Question 6. Which of the two methods is best for comparing two groups, in your opinion? A Would you prefer to work at home? (n=20) 60 50 40 Percent 20 30 20 30 10 0 No Yes Prefer to work at home? (10 males, 10 females) 80 Percent 60 00 40 40 20- No Yes No Yes Female Male

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Chapter 13 Solutions

Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)

Ch. 13.2 - 1. The following data are from a completely...Ch. 13.2 - 2. In a completely randomized design, seven...Ch. 13.2 - 3. Refer to exercise 2. what hypotheses are...Ch. 13.2 - Prob. 4E Ch. 13.2 - 5. In a completely randomized design, 12...Ch. 13.2 - Prob. 6E Ch. 13.2 - 7. Three different methods for assembling a...Ch. 13.2 - Prob. 8E Ch. 13.2 - 9. To study the effect of temperature on yield in...Ch. 13.2 - Prob. 10E

Ch. 13.2 - Four different paints are advertised as having the...Ch. 13.2 - Restaurant Satisfaction. The Consumer Reports...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - Prob. 14E Ch. 13.3 - Testing Chemical Processes. To test whether the...Ch. 13.3 - Prob. 16E Ch. 13.3 - Marketing Ethics. In the digital age of marketing,...Ch. 13.3 - Prob. 18E Ch. 13.3 - Prob. 19E Ch. 13.3 - Minor league Baseball Attendance. The...Ch. 13.4 - Consider the experimental results for the...Ch. 13.4 - Prob. 22E Ch. 13.4 - 23. An experiment has been conducted for four...Ch. 13.4 - Prob. 24E Ch. 13.4 - The price drivers pay for gasoline often varies a...Ch. 13.4 - SAT Performance. The Scholastic Aptitude Test...Ch. 13.4 - A study reported in the Journal of the American...Ch. 13.5 - A factorial experiment involving two levels of...Ch. 13.5 - Prob. 29E Ch. 13.5 - Prob. 30E Ch. 13.5 - Amusement Park Queues. An amusement park studied...Ch. 13.5 - Prob. 32E Ch. 13.5 - Prob. 33E Ch. 13 - In a completely randomized experimental design,...Ch. 13 - Prob. 35SE Ch. 13 - Prob. 36SE Ch. 13 - Prob. 37SE Ch. 13 - Assembly Methods. Three different assembly methods...Ch. 13 - In a study conducted to investigate browsing...Ch. 13 - Fuel Efficiency of Gasoline Brands. A research...Ch. 13 - Late-Night Talk Show Viewership. Jimmy Kimmel...Ch. 13 - Prob. 42SE Ch. 13 - Prob. 43SE Ch. 13 - Prob. 44SE Ch. 13 - CASE PROBLEM 1: WENTWORTH MEDICAL CENTER As part...Ch. 13 - CASE PROBLEM 2: COMPENSATION FOR SALES...Ch. 13 - TOURISTOPIA TRAVEL TourisTopia Travel (Triple T)...

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Test whether there is any significant effects due to class, type, and interaction effects at α = 0.05 level of significance.

Solution Summary: Alternative hypothesis: There is no significant difference between class and type.

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Test whether there is any significant effects due to class, type, and interaction effects at α=0.05 level of significance.

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Chapter 13 Solutions