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 29E
To determine
Set up ANOVA table and test the main and interaction effect.
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The calculations for a factorial experiment involving four levels of factor A, three levels
of factor B, and three replications resulted in the following data: SST = 280, SSA = 26,
SSB = 23, SSAB = 175. Set up the ANOVA table and test for any significant main effects
and any interaction effect. Use a = .05.
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 271, SSA = 22, SSB = 24, SSAB = 170. Set up the ANOVA table and test for any significant main effect and may interaction effect. use a= .05.
Consider an experiment to determine the effects of alcohol and marijuana on driving. Five randomly selected subjects are given alcohol to produce legal drunkenness and then are given a simulated driving test (scored from a top score of 10 to a bottom score of 0). Five different randomly selected subjects are given marijuana and then the same driving test. Finally, a control group of five subjects is tested for driving while sober. The driving test scores and the One-Way ANOVA table for these data are shown below. Test the hypothesis that there is a difference among the means of the three groups at 1% significance level.
Alcohol
Drugs
Control
3
2
8
4
6
7
2
4
8
1
4
5
3
3
6
The following is the summary statistics for the table above generated from an Excel one-way ANOVA analysis:
ANOVA
SS
df
MS
F
P-value
Between Groups
46.800
2
23.400
13.500
0.000848594
Within Groups
20.800
12
1.733
Total
67.600
14
Based on the Excel output, does there appear to be a…
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. 4ECh. 13.2 - 5. In a completely randomized design, 12...Ch. 13.2 - Prob. 6ECh. 13.2 - 7. Three different methods for assembling a...Ch. 13.2 - Prob. 8ECh. 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. 14ECh. 13.3 - Testing Chemical Processes. To test whether the...Ch. 13.3 - Prob. 16ECh. 13.3 - Marketing Ethics. In the digital age of marketing,...Ch. 13.3 - Prob. 18ECh. 13.3 - Prob. 19ECh. 13.3 - Minor league Baseball Attendance. The...Ch. 13.4 - Consider the experimental results for the...Ch. 13.4 - Prob. 22ECh. 13.4 - 23. An experiment has been conducted for four...Ch. 13.4 - Prob. 24ECh. 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. 29ECh. 13.5 - Prob. 30ECh. 13.5 - Amusement Park Queues. An amusement park studied...Ch. 13.5 - Prob. 32ECh. 13.5 - Prob. 33ECh. 13 - In a completely randomized experimental design,...Ch. 13 - Prob. 35SECh. 13 - Prob. 36SECh. 13 - Prob. 37SECh. 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. 42SECh. 13 - Prob. 43SECh. 13 - Prob. 44SECh. 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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- A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20arrow_forwardOne-way ANOVA tests were performed to examine the effect of sleep deprivation (24, 36, 48 hours) on appetite (Study 1) and memory (Study 2). The SS between was larger in Study 1 than in Study 2. The SS total was smaller in Study 1 than in Study 2. Using n², in which study will the effect size be larger? Study 1 Study 2 There is not enough information to answer this questionarrow_forwardCreate a drawing or plan for a 2 X 3 experimental design that would be appropriate for a factoral ANOVA. Identity the independent and dependent variables. Create a drawing or plan for a 3 X 3 experimental design that would be appropriate for a factoral ANOVA. Identity the independent and dependent variables.arrow_forward
- 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 these sample results show that there is a significant difference between entry and exit gate failures? Use a = 0.05. Entry failures Exit failures Truck 1 Truck 2 Truck 3 Truck 4 Truck 5 44 40 55 56 62 Truck 6 52 Truck 7 Truck 8 50 53 55 56 55 50 45 51 45 47arrow_forwardThe caluations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulting in the following data: SST = 276, SSA=23, SSB = 25, SSAB =170. Set up the ANOVA table and test for significance using a=0.5. Show entries to 2 decimals, if necessary. If the answer is zeeo enter 0. Factor A? Factor B? Interaction? Error? Total? Thank youarrow_forwardWhat would be the effect of changing the value of SS2 to 200 if an ANOVA were used for the following data? Sample Data M1 = 12 M2 = 18 SS1 = 50 SS2 = 100 Select one: a. Decrease SSwithin and decrease the size of the F-ratio. b. Increase SSwithin and increase the size of the F-ratio. c. Increase SSwithin and decrease the size of the F-ratio. d. Decrease SSwithin and increase the size of the F-ratio.arrow_forward
- Which of these experimental designs has the most statistical power (is more likely to show a true difference between 2 treatment conditions)? A. Between-Subjects B. Descriptive Study C. Correlational Study D. Within-Subjectsarrow_forwardYou’re interested in knowing if a walking plus strength training exercise program results in a significantly greater increase in maxVo2 as compared to a walking only or a strength training only exercise program. Participants are randomly selected and then randomly assigned to one of three groups— walking plus strength training, walking only, or strength training only. After 6-months of exercise the participants are assessed. Which statistical analyses was used?arrow_forwardYou conduct a one-factor ANOVA with 8 groups and 5 subjects in each group (a balanced design) and obtain F=2.63F=2.63. Use Excel to find the requested values (report p-value accurate to 4 decimal places). dfbetween=dfbetween= dfwithin=dfwithin= p=p=arrow_forward
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