For Bonferroni, how would you report your results? A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40) were not different from one another, but both were significantly lower than the mean FIQ score for younger subjects (109.08). OA Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and older subjects (109.08) were not different from one another, but both were significantly different than the mean FIQ score for middle-age subjects (112.40). A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and middle-age subjects (107.15) were not different from one another, but both were significantly different than the mean FIQ score for older subjects (109.08). A Bonferroni post hoc test (p < .05) revealed that the mean FIQ score for older subjects (112.40) was significantly higher than the mean FIQ scores for younger subjects (107.15) and middle-age subjects (108.40), but the mean FIQ scores of the latter two groups were not different from one another A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age (112.40) subjects and older subjects (109.08) were not different from one another, but both were significantly higher than the mean FIQ score for younger subjects (107.15).
For Bonferroni, how would you report your results? A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age subjects (107.15) and older subjects (108.40) were not different from one another, but both were significantly lower than the mean FIQ score for younger subjects (109.08). OA Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and older subjects (109.08) were not different from one another, but both were significantly different than the mean FIQ score for middle-age subjects (112.40). A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and middle-age subjects (107.15) were not different from one another, but both were significantly different than the mean FIQ score for older subjects (109.08). A Bonferroni post hoc test (p < .05) revealed that the mean FIQ score for older subjects (112.40) was significantly higher than the mean FIQ scores for younger subjects (107.15) and middle-age subjects (108.40), but the mean FIQ scores of the latter two groups were not different from one another A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age (112.40) subjects and older subjects (109.08) were not different from one another, but both were significantly higher than the mean FIQ score for younger subjects (107.15).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:+ Oneway
Descriptives
WAIS-R full scale IQ
95% Confidence Interval for
Mean
N
Mean
Std. Deviation Std. Error Lower Bound Upper Bound
Minimum
Maximum
Post Hoc Tests
5-25 Years
185
107.15
11.946
878
105.41
108.88
77
146
26-59 Years
380
108.40
12.840
.659
107.11
109.70
73
150
110.65
114.15
Multiple Comparisons
60-92 Years
185
112.40
12.052
.886
81
143
Total
750
109.08
12.572
459
108.18
109.98
73
150
Dependent Variable: WAIS-R full scale IQ
Bonferroni
ANOVA
Mean
Difference (I-
J)
95% Confidence Interval
WAIS-R full scale IQ
() Subjects age in years (J) Subjects age in years
Std. Error
Sig.
Lower Bound Upper Bound
Sum of
Squares
df
Mean Square
F
Si.
5-25 Years
26-59 Years
-1.257
1.115
.780
-3.93
1.42
Between Groups
2905.502
2
1452.751
9.398
<.001
-5.254
1.293
<.001
60-92 Years
-8.36
-2.15
Within Groups
115472.857
747
154.582
26-59 Years
5-25 Years
1.257
1.115
.780
-1.42
3.93
Total
118378.359
749
60-92 Years
-3.997
.001
-6.67
1.115
-1.32
ANOVA Effect Sizes
60-92 Years
5-25 Years
5.254
1.293
<.001
2.15
8.36
26-59 Years
3.997
1.115
.001
1.32
6.67
95% Confidence Interval
Point
Estimate
Lower
Upper
*. The mean difference is significant at the 0.05 level.
WAIS-R full scale 1Q Eta-squared
.025
.006
.049
Epsilon-squared
.022
.004
.046
Omega-squared Fixed-
.022
.004
.046
effect
Omega-squared
Random-effect
.011
.002
.024
a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.
Transcribed Image Text:For Bonferroni, how would you report your results?
A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age subjects (107.15) and
older subjects (108.40) were not different from one another, but both were significantly lower than the mean
FIQ score for younger subjects (109.08).
A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and older
subjects (109.08) were not different from one another, but both were significantly different than the mean FIQ
score for middle-age subjects (112.40).
A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for younger subjects (108.40) and
middle-age subjects (107.15) were not different from one another, but both were significantly different than
the mean FIQ score for older subjects (109.08).
A Bonferroni post hoc test (p < .05) revealed that the mean FIQ score for older subjects (112.40) was
significantly higher than the mean FIQ scores for younger subjects (107.15) and middle-age subjects (108.40),
but the mean FIQ scores of the latter two groups were not different from one another
A Bonferroni post hoc test (p < .05) revealed that the mean FIQ scores for middle-age (112.40) subjects and
older subjects (109.08) were not different from one another, but both were significantly higher than the mean
FIQ score for younger subjects (107.15).
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