How would you interpret these results?1. The effect of gender caused different levels of Stroop tas performance at different ages.2. The effect of age caused different levels of Stroop task performance in men than women.3. The interaction between gender and age did not affect Stroop task performance.4. a and b5. None of the above. Between-Subjects FactorsValue LabelGenderFemale3651Male122Age in Years 118-42219243-67124368-8914392921Tests of Between-Subjects EffectsDependent Variable: Stroop TestТурe II Sumof SquaresSourcedfMean SquareFSig.Corrected Model8424.288*6.1404.04831.273<.001Intercept5094.5821.5094.582113.475<.001Genderl304.3581.304.3586.779.010Agel7571.5422523.84756.215<.001Genderl * Agel554.2942277.1476.173.002Error21550.17548044.896Total56137.066487Corrected Total29974.463486a. R Squared= .281 (Adjusted R Squared.272)%3D

Given Data : On the basis of the P-values provided P-value for Age 1 is significant : (P-value is…

How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4. a and b 5. None of the above.

How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4. a and b 5. None of the above.

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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