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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 0.05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 48 50 Method 2 49 51 Type of Ride Screaming Demon Long Flume 50 45 42 41 45 41 51 47 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 F p-value Factor A .0833 1 12 Factor B 32 2 16 0 0 Interaction 56 28 Error 60 Total 160 11 10

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 0.05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 48 50 Method 2 49 51 Type of Ride Screaming Demon Long Flume 50 45 42 41 45 41 51 47 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 F p-value Factor A .0833 1 12 Factor B 32 2 16 0 0 Interaction 56 28 Error 60 Total 160 11 10

Chemical Principles in the Laboratory
Chemical Principles in the Laboratory
11th Edition
ISBN:9781305264434
Author:Emil Slowinski, Wayne C. Wolsey, Robert Rossi
Publisher:Emil Slowinski, Wayne C. Wolsey, Robert Rossi
Chapter21: Rates Of Chemical Reactions, Ii. A Clock Reaction
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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 0.05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 48 50 Method 2 49 51 Type of Ride Screaming Demon Long Flume 50 45 42 41 45 41 51 47 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 F p-value Factor A .0833 1 12 Factor B 32 2 16 0 0 Interaction 56 28 Error 60 Total 160 11 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 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 49 51 Type of Ride Screaming Demon Long Flume 50 45 42 41 45 41 51 47 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 F p-value Factor A .0833 1 12 Factor B 32 2 16 0 0 Interaction 56 28 Error 60 Total 160 11 10
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