Five different auto models were tested for their fuel efficacy. Seven vehicles from each model are selected for the experiment. The analysis of variance procedure was applied to the resulting data set. The total sum of squares (SSTO) is 158.2, and the sum of squares due to treatments (SSTR) is 51.6. (a) Set up the ANOVA table for this problem. (b) Write null and alternative hypotheses and use to test for any significant difference in the fuel efficiency for the five auto models. (c) What is your conclusion if (Note: For your convenience, you can copy/ paste the following notations.)
Five different auto models were tested for their fuel efficacy. Seven vehicles from each model are selected for the experiment. The analysis of variance procedure was applied to the resulting data set. The total sum of squares (SSTO) is 158.2, and the sum of squares due to treatments (SSTR) is 51.6. (a) Set up the ANOVA table for this problem. (b) Write null and alternative hypotheses and use to test for any significant difference in the fuel efficiency for the five auto models. (c) What is your conclusion if (Note: For your convenience, you can copy/ paste the following notations.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Five different auto models were tested for their fuel efficacy. Seven vehicles from each model are selected for the experiment. The analysis of variance procedure was applied to the resulting data set. The total sum of squares (SSTO) is 158.2, and the sum of
squares due to treatments (SSTR) is 51.6.
(a) Set up the ANOVA table for this problem.
(b) Write null and alternative hypotheses and use to test for any significant
difference in the fuel efficiency for the five auto models.
(c) What is your conclusion if
(Note: For your convenience, you can copy/ paste the following notations.)

Transcribed Image Text:5. Five different auto models were tested for their fuel efficacy. Seven vehicles from each
model are selected for the experiment. The analysis of variance procedure was applied to the
resulting data set. The total sum of squares (SSTO) is 158.2, and the sum of
squares due to treatments (SSTR) is 51.6.
(a) Set up the ANOVA table for this problem.
(b) Write null and alternative hypotheses and use a = 0.05 to test for any significant
difference in the fuel efficiency for the five auto models.
(c) What is your conclusion if a
0.01?
(Note: For your convenience, you can copy/ paste the following notations.)
H,P, X, P, Ho, Ha, 0,S, Za, Za/2, Zo.1, Zo.05, Zo.025, Zo.01, Zo.005, ta, ta/2, to.1, to.05, to.025, to.01, to.005,
SSxy
Fa, Fo.1, Fo.o5, Fo.01»>,<,=,+,±,,Hz, P(Z >),P(Z <), P(T > ), P(T <), bo, b,
ху
P(1– p)
, Za/2
p - p
P(1-p)
Za/2
,ta/2
T =
S
-,Z =
Vn
n
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