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 pot 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 loading and unloading method, the type of ride, and interaction. Use a = 0.05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 48 50 Method 2 48 50 Type of Ride Screaming Demon Long Flume 51 45 43 41 49 46 42 Set up the ANOVA table (to whole number, but p-value to 4 decimals and F value to 2 decimal, if necessary). Do not round intermediate calculations. Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A F p-value × Factor B Interaction Error * * * * Total The p-value for Factor A is less than 0.01 What is your conclusion with respect to Factor A? Factor A is not significant v The p-value for Factor B is greater than 0.10 What is your conclusion with respect to Factor B? * × ® * * ×

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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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 pot
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
loading and unloading method, the type of ride, and interaction. Use a = 0.05. Factor A is method of loading and unloading; Factor B is the type of ride.
Roller Coaster
Method 1
48
50
Method 2
48
50
Type of Ride
Screaming Demon
Long Flume
51
45
43
41
49
46
42
Set up the ANOVA table (to whole number, but p-value to 4 decimals and F value to 2 decimal, if necessary). Do not round intermediate calculations.
Source of Variation Sum of Squares Degrees of Freedom Mean Square
Factor A
F
p-value
×
Factor B
Interaction
Error
* * * *
Total
The p-value for Factor A is less than 0.01
What is your conclusion with respect to Factor A?
Factor A is not significant v
The p-value for Factor B is greater than 0.10
What is your conclusion with respect to Factor B?
*
×
®
*
*
×
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 pot 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 loading and unloading method, the type of ride, and interaction. Use a = 0.05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 48 50 Method 2 48 50 Type of Ride Screaming Demon Long Flume 51 45 43 41 49 46 42 Set up the ANOVA table (to whole number, but p-value to 4 decimals and F value to 2 decimal, if necessary). Do not round intermediate calculations. Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A F p-value × Factor B Interaction Error * * * * Total The p-value for Factor A is less than 0.01 What is your conclusion with respect to Factor A? Factor A is not significant v The p-value for Factor B is greater than 0.10 What is your conclusion with respect to Factor B? * × ® * * ×
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