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 beenproposed. 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 wasdesigned. 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 = .05. Factor A is method of loading and unloading;Factor B is the type of ride.Type of RideRoller CoasterScreaming DemonLong FlumeMethod 1495351514547Method 2524551544147a. Set up the ANOVA table (to 2 decimal, if necessary). Round p-value to four decimal places.Source of Variation Sum of Squares Degrees of Freedom Mean SquareFp-valueFactor AFactor BInteractionErrorTotal00000

We have used R studio to run the two-way Anova. The code is as under library(readxl)df <- read_excel("C:/Users/ragha/Desktop/df.xlsx") aov = aov(Values~Ride +Method + Ride*Method,data = df)summary(aov)Source of Variation SS Df Mean Square F p-value Method 3 1 3 0.3 0.604 Ride 60.67 2 30.33 3.033 0.123 Interaction 42 2 21 2.1 0.204 Error 60 6 10 Total 165.67 11

Math

Statistics

Set up the ANOVA table (to 2 decimal, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total

Set up the ANOVA table (to 2 decimal, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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