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.   Type of Ride   Roller Coaster Screaming Demon Long Flume Method 1 47 51 54   49 43 50 Method 2 51 47 50   53 43 46 Set up the ANOVA table (to whole number, but -value to 2 decimals and  value to 1 decimal, if necessary).   Source of Variation Sum of Squares Degrees of Freedom Mean Square F -value Factor A           Factor B           Interaction           Error         Total           The p-value for Factor A is   What is your conclusion with respect to Factor A?   The -value for Factor B is   What is your conclusion with respect to Factor B?   The -value for the interaction of factors A and B is   What is your conclusion with respect to the interaction of Factors A and B?   What is your recommendation to the amusement park?

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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.

  Type of Ride
  Roller Coaster Screaming Demon Long Flume
Method 1 47 51 54
  49 43 50
Method 2 51 47 50
  53 43 46

Set up the ANOVA table (to whole number, but -value to 2 decimals and  value to 1 decimal, if necessary).

 

Source of Variation Sum of Squares Degrees of Freedom Mean Square F -value
Factor A          
Factor B          
Interaction          
Error        
Total        

 

The p-value for Factor A is  

What is your conclusion with respect to Factor A?

 

The -value for Factor B is  

What is your conclusion with respect to Factor B?

 

The -value for the interaction of factors A and B is  

What is your conclusion with respect to the interaction of Factors A and B?

 

What is your recommendation to the amusement park?

 

 

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