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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 %B= 0.05. Factor A is method of loading and unloading; Factor B is the type of ride.

Roller coaster sceaming demond Log flume
Method 1 41 52 50
43 44 46
Method 2 49 50 48
51 46 44

Set up the ANOVA table (to 1 decimal, if necessary).

User OmerN
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Answer:

see explaination

Explanation:

The p-value for Factor A is greater than 0.1

What is your conclusion with respect to Factor A?

Factor A is not significant.

The p-value for Factor B is greater than 0.1

What is your conclusion with respect to Factor B?

Factor B is not significant.

The p-value for the interaction of factors A and B is greater than 0.1

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

The interaction of Factors A and B is not significant.

What is your recommendation to the amusement park?

Since method is not a significant factor, use either loading and unloading method.

An amusement park studied methods for decreasing the waiting time (minutes) for rides-example-1
User Diedre
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