Name Date Three different makes of cars were tested for fuel efficiency. For each make of car fifteen automobiles were randomly selected and subjected to standard driving procedures. Using the data from the following results compute the between treatments estimate of o² and the within treatments estimate of o?. At the a=.05 level of significance, can the null hypothesis, that all fuel economies are the same, be rejected? Construct the ANOVA table for this data. (Use the formulas to compute the needed values by hand.) 1. Ford Chevrolet Chrysler Miles Per Gallon 32 29 34 Standard Deviation 4 APR 17 étv 4 3. w/

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Name
Date
Three different makes of cars were tested for fuel efficiency. For each make of car fifteen automobiles
were randomly selected and subjected to standard driving procedures. Using the data from the following
results compute the between treatments estimate of o² and the within treatments estimate of o?. At the
a=.05 level of significance, can the null hypothesis, that all fuel economies are the same, be rejected?
Construct the ANOVA table for this data. (Use the formulas to compute the needed values by hand.)
1.
Ford
Chevrolet
Chrysler
Miles Per Gallon
32
29
34
Standard Deviation
4
APR
17
étv 4
3.
w/
Transcribed Image Text:Name Date Three different makes of cars were tested for fuel efficiency. For each make of car fifteen automobiles were randomly selected and subjected to standard driving procedures. Using the data from the following results compute the between treatments estimate of o² and the within treatments estimate of o?. At the a=.05 level of significance, can the null hypothesis, that all fuel economies are the same, be rejected? Construct the ANOVA table for this data. (Use the formulas to compute the needed values by hand.) 1. Ford Chevrolet Chrysler Miles Per Gallon 32 29 34 Standard Deviation 4 APR 17 étv 4 3. w/
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