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An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Log Flume Method 1 44 50 49 46 42 45 Method 2 48 53 49 50 49 45 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A 27 Factor B 6 Interaction Error Total 14 > 1 2 2 รว F p-value 27 2.7 0.15 3 0.4 * 7 0.7 * 6 10 60 107 ☑ 11 The p-value for Factor A is greater than .10

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Log Flume Method 1 44 50 49 46 42 45 Method 2 48 53 49 50 49 45 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A 27 Factor B 6 Interaction Error Total 14 > 1 2 2 รว F p-value 27 2.7 0.15 3 0.4 * 7 0.7 * 6 10 60 107 ☑ 11 The p-value for Factor A is greater than .10

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Missing p- values

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Log Flume Method 1 44 50 49 46 42 45 Method 2 48 53 49 50 49 45 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A 27 Factor B 6 Interaction Error Total 14 > 1 2 2 รว F p-value 27 2.7 0.15 3 0.4 * 7 0.7 * 6 10 60 107 ☑ 11 The p-value for Factor A is greater than .10
Transcribed Image Text:An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Log Flume Method 1 44 50 49 46 42 45 Method 2 48 53 49 50 49 45 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A 27 Factor B 6 Interaction Error Total 14 > 1 2 2 รว F p-value 27 2.7 0.15 3 0.4 * 7 0.7 * 6 10 60 107 ☑ 11 The p-value for Factor A is greater than .10
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