Razor Blazer Tracer 12 11 10 9. 11 10 9. 8 10 11 10 11 13 11 9. ANOVA Source of Variation Between Groups Within Groups df MS p-value Total

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last eight hours are as follows. (You may find it useful to reference the F table.) 

(Inserted image is the table)

a. Specify the competing hypotheses to test whether there are some differences in the mean production rates across the three assembly lines.

(which one is correct)

  • H0: μRazor = μBlazer = μTracer. HA: Not all population means are equal.
  • H0: μRazorμBlazerμTracer. HA: Not all population means are equal.
  • H0: μRazorμBlazerμTracer. HA: Not all population means are equal.

b-1. Construct an ANOVA table. Assume production rates are normally distributed. (Round intermediate calculations to at least 4 decimal places. Round "SS" to 2 decimal places, "MS", "p-value" to 4 decimal places, and "F" to 3 decimal places.)

(Second photo is the ANOVA table to be filled out)

 

Razor Blazer Tracer
12
11
10
9.
11
10
9.
8
10
11
10
11
13
11
9.
Transcribed Image Text:Razor Blazer Tracer 12 11 10 9. 11 10 9. 8 10 11 10 11 13 11 9.
ANOVA
Source of Variation
Between Groups
Within Groups
df
MS
p-value
Total
Transcribed Image Text:ANOVA Source of Variation Between Groups Within Groups df MS p-value Total
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