ο ο eBook 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 45 52 49 47 44 45 Method 2 50 53 47 52 49 43 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 F p-value Factor A 16 1 16 Factor B 33 2 16 Interaction 29 2 14 * * * 1.6 .24 1.6 .27 1.4 .30 Error Total 60 6 10 138 The p-value for Factor A is greater than .10 11

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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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
45
52
49
47
44
45
Method 2
50
53
47
52
49
43
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
F
p-value
Factor A
16
1
16
Factor B
33
2
16
Interaction
29
2
14
* * *
1.6
.24
1.6
.27
1.4
.30
Error
Total
60
6
10
138
The p-value for Factor A is greater than .10
11
Transcribed Image Text:ο ο eBook 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 45 52 49 47 44 45 Method 2 50 53 47 52 49 43 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 F p-value Factor A 16 1 16 Factor B 33 2 16 Interaction 29 2 14 * * * 1.6 .24 1.6 .27 1.4 .30 Error Total 60 6 10 138 The p-value for Factor A is greater than .10 11
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