Sum of Squares df Mean Square Sig. Between Groups 9.949 4.975 3.734 027 Within Groups 130.565 98 1.332 Total 140.515 100 Post Hoc Tests Multiple Comparisons Dependent Variable: jobsat Bonferroni Mean Difference (- J) 95% Confidence Interval ) height (J) height Std. Error Sig Lower Bound Upper Bound 2. 732 270 .023 08 1.39 3. 393 338 744 43 1.22 1. 732 270 023 -1.39 08 3. 340 303 795 -1.08 40 3. 1. 393 336 744 1.22 43 2. 340 303 795 40 1.08 *. The mean difference is significant at the 0.05 level.
Sum of Squares df Mean Square Sig. Between Groups 9.949 4.975 3.734 027 Within Groups 130.565 98 1.332 Total 140.515 100 Post Hoc Tests Multiple Comparisons Dependent Variable: jobsat Bonferroni Mean Difference (- J) 95% Confidence Interval ) height (J) height Std. Error Sig Lower Bound Upper Bound 2. 732 270 .023 08 1.39 3. 393 338 744 43 1.22 1. 732 270 023 -1.39 08 3. 340 303 795 -1.08 40 3. 1. 393 336 744 1.22 43 2. 340 303 795 40 1.08 *. The mean difference is significant at the 0.05 level.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Based on an alpha of .05, select the most appropriate conclusion you could draw from the ANOVA TEST ALONE (NOT including a post hoc test):
Group of answer choices
There is NOT a significant relationship between job satisfaction and height.
There is a significant relationship between job satisfaction and height. However, without further analysis, we cannot say which height groups are significantly different from each other in terms of job satisfaction.
There is a significant relationship between job satisfaction and height. Specifically, tall students are significantly more satisfied with their jobs than short students.
There is a significant relationship between job satisfaction and height. Specifically, short students are significantly more satisfied with their jobs than tall students.

Transcribed Image Text:ANOVA
jesqof
Sum of
Squares
Mean Square
Between Groups
4.975
3.734
2.
Within Groups
130.565
1.332
86
140.515
001
Post Hoc Tests
Multiple Comparisons
Dependent Variable: jobsat
Bonferroni
95% Confidence Interval
Difference (
J) height
Std. Error
Lower Bound
Upper Boune
2.
732
023
80
744
43
1.22
BEE
732
-1.39
1.
80
2.
80 I-
-1.22
3.
393
744
1.
BEE
795
1.08
E0€"
* The mean difference is significant at the 0.05 level.
2.
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