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Oneway Descriptives WAIS-R full scale 10 95% Confidence Interval for Mean 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 60-92 Years 185 112.40 12.052 886 110.65 Multiple Comparisons 114.15 81 143 Total 750 109.08 12.572 459 108.18 109.98 73 150 Dependent Variable: WAIS-R full scale 1Q Bonferroni ANOVA Mean 95% Confidence Interval WAIS-R full scale 10 Difference (I () Subjects age in years (J) Subjects age in years Std. Error Sig. J) Lower Bound Upper Bound Sum of Squares df Mean Square F Sig 5-25 Years 26-59 Years -1.257 1.115 .780 -3.93 1.42 Between Groups 2905.502 1452.751 9.398 «.001 60-92 Years -5.254 1.293 <.001 -8.36 -2.15 Within Oroups 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 1.115 .001 -6.67 -1.32 60-92 Years 5-25 Years 5.254 1.293 <.001 2.15 8.36 ANOVA Effect Sizes" 26-59 Years 3.997 1.115 .001 1.32 6.67 95% Confidence Interval Point Estimate * The mean difference is significant at the 0.05 level. Lower r Upper WAIS-R full scale 10 Eta-squared .025 .006 .049 Epsilon-squared Omega-squared Fixed- effect .022 .004 .046 .022 .004 .046 Omega-squared Random-effect .011 .002 024 a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.

Oneway Descriptives WAIS-R full scale 10 95% Confidence Interval for Mean 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 60-92 Years 185 112.40 12.052 886 110.65 Multiple Comparisons 114.15 81 143 Total 750 109.08 12.572 459 108.18 109.98 73 150 Dependent Variable: WAIS-R full scale 1Q Bonferroni ANOVA Mean 95% Confidence Interval WAIS-R full scale 10 Difference (I () Subjects age in years (J) Subjects age in years Std. Error Sig. J) Lower Bound Upper Bound Sum of Squares df Mean Square F Sig 5-25 Years 26-59 Years -1.257 1.115 .780 -3.93 1.42 Between Groups 2905.502 1452.751 9.398 «.001 60-92 Years -5.254 1.293 <.001 -8.36 -2.15 Within Oroups 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 1.115 .001 -6.67 -1.32 60-92 Years 5-25 Years 5.254 1.293 <.001 2.15 8.36 ANOVA Effect Sizes" 26-59 Years 3.997 1.115 .001 1.32 6.67 95% Confidence Interval Point Estimate * The mean difference is significant at the 0.05 level. Lower r Upper WAIS-R full scale 10 Eta-squared .025 .006 .049 Epsilon-squared Omega-squared Fixed- effect .022 .004 .046 .022 .004 .046 Omega-squared Random-effect .011 .002 024 a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.

MATLAB: An Introduction with Applications
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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Question
What is the mean difference for Groups 2 and 3?
Group of answer choices:
1. –5.25
2. –4.00
3. –1.26
4. 0.000
5. 0.001
6. 0.26
7. 0.50
8. 1.12
9. 1.26
10. 1.29
11. 4.00
12. 5.25
 
And using the same choice options from prior question
And what is the level of significance for the mean difference for Groups 2 and 3?
+ 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:+ 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.
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