5. A bicycle manufacturer has updated its procedures for final assembly. Each of

Question

5. A bicycle manufacturer has updated its procedures for final assembly. Each of three different crews uses the old procedures for 3 days and then the new procedures for 3 days The outputs (in bicycles per hour) are shown in the table below. Does there appear to be an interaction between the crew and the procedure? Does there appear to be a difference in the mean outputs of the two procedures? Does the crew appear to affect the output? Based on these results, do the new procedures appear to increase output? Crew Old New I 16.8 17.4 15.4 18.1 19.4 18.3 II 16.5 15.3 16.9 17.5 17.8 17.6 III 16.0 14.8 18.1 16.6 16.4 17.6

Explanation / Answer

Covert this table into an csv file with

column 1 = bicycle

column 2 = crew

column 3 = procedure

name the file as bicycle.csv

## loading the file in R

bicycle_df<- read.csv("bicycle.csv")

result <- aov(bicycle ~ crew*procedure, data = bicycle_df)

results

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