es) for rides by loading and unloading riders more efficiently. Two pading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any fect due to the loading and unloading method, the type of ride, and interaction. Use a =.05. FactoOr A is method of loading and actor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Long Flume Method 1 49 51 50 51 43 46 Method 2 47 51 52 49 47 48 NOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). p-value Jariation Sum of Squares Degrees of Freedom Mean Square Activate Window Go to Settings to ac 10:42 PM 1/19/2020 Method 2 47 51 52 47 49 48 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 p-value Factor A Factor B Interaction Error Total The p-value for Factor A is greater than .10 What is your conclusion with respect to Factor A? Factor A is not significant The p-value for Factor B is greater than .10

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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 = 0.5. Factor A is method of method of loading and unloading; factor B is the type of ride. 

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es) for rides by loading and unloading riders more efficiently. Two
pading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction
method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any
fect due to the loading and unloading method, the type of ride, and interaction. Use a =.05. FactoOr A is method of loading and
actor B is the type of ride.
Type of Ride
Roller Coaster
Screaming Demon
Long Flume
Method 1
49
51
50
51
43
46
Method 2
47
51
52
49
47
48
NOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary).
p-value
Jariation Sum of Squares Degrees of Freedom Mean Square
Activate Window
Go to Settings to ac
10:42 PM
1/19/2020
Transcribed Image Text:es) for rides by loading and unloading riders more efficiently. Two pading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any fect due to the loading and unloading method, the type of ride, and interaction. Use a =.05. FactoOr A is method of loading and actor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Long Flume Method 1 49 51 50 51 43 46 Method 2 47 51 52 49 47 48 NOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). p-value Jariation Sum of Squares Degrees of Freedom Mean Square Activate Window Go to Settings to ac 10:42 PM 1/19/2020
Method 2
47
51
52
47
49
48
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
p-value
Factor A
Factor B
Interaction
Error
Total
The p-value for Factor A is greater than .10
What is your conclusion with respect to Factor A?
Factor A is not significant
The p-value for Factor B is greater than .10
Transcribed Image Text:Method 2 47 51 52 47 49 48 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 p-value Factor A Factor B Interaction Error Total The p-value for Factor A is greater than .10 What is your conclusion with respect to Factor A? Factor A is not significant The p-value for Factor B is greater than .10
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