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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Please explain 8.34

Transcribed Image Text:light condition
8.34 Stress Levels In addition to monitoring weight
gain, food consumed, and activity level, the study
measured stress levels in the mice by measuring
corticosterone levels in the blood (higher levels
indicate more stress). Conditions for ANOVA are
met and computer output for corticosterone levels
for each of the three light conditions is shown.
Level
DM
LD
LL
N
10
Light
Error
Total
8
9
Mean
73.40
70.02
50.83
One-way ANOVA: Corticosterone versus Light
Source
DF
SS
MS
2
1357
24
3158
26
StDev
67.49
54.15
42.22
2713
75782
78495
F
0.43
P
0.656
(a) What is the conclusion of the analysis of vari-
ance test?
(b) One group of mice in the sample appears to
have very different corticosterone levels than
the other two. Which group is different? What
aspect of the data explains why the ANOVA
test does not find this difference significant?
How is this aspect reflected in both the sum-
mary statistics and the ANOVA table?
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