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

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
Question
100%

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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