Question

In: Statistics and Probability

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and...

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 . 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

42

54

46

44

46

42

Method 2

47

53

49

49

49

45

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

-value

Factor A

Factor B

Interaction

Error

Total

Solutions

Expert Solution

Solution:

It is a case of two way ANOVA with replication. we can perform ANOVA using EXCEL which is as follows.

Step to perform 2 way ANOVA with replication

  • Enter the data into the worksheet
  • DATA > Data Analysis > ANOVA: two factors with replication
  • Select the Data into Input Range:
  • Choose Rows per sample: 2 (2-row replicate for method 1 and method 2 each)
  • Click OK on each dialogue box.

The Excel output is as follows:

ANOVA
Source of Variation SS df MS F P-value F crit
Sample 8 1 8 0.571429 0.491767 7.708647
Columns 50 1 50 3.571429 0.131778 7.708647
Interaction 2 1 2 0.142857 0.724659 7.708647
Within 56 4 14
Total 116 7

In the context of your problem:

ANOVA
Source of Variation Sum of Square Degrees of Freedom Mean Square F P-value F crit
Factor 1 8 1 8 0.571429 0.491767 7.708647
Factor 2 50 1 50 3.571429 0.131778 7.708647
Interaction 2 1 2 0.142857 0.724659 7.708647
Error 56 4 14
Total 116 7

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