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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 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

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

Calculus For The Life Sciences
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 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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