Between-Subjects Factors Value Label Gender Female 365 1 Age in Years 1 Male 122 18-42 219 2 43-67 124 3 68-89 143 92 92 Tests of Between-Subjects Effects Dependent Variable: Stroop Test Type III Sum of Squares Source df Mean Square F Sig. Corrected Model 8424.288* 6 1404.048 31.273 <.001 Intercept 5094.582 1 5094.582 113.475 <.001 Genderl 304.358 1. 304.358 6.779 .010 Agel 7571.542 2523.847 56.215 <.001 Genderl * Agel 554.294 277.147 6.173 .002 2 Error 21550.175 480 44.896 Total 56137.066 487 Corrected Total 29974.463 486 a. R Squared = .281 (Adjusted R Squared .272) %3D
Between-Subjects Factors Value Label Gender Female 365 1 Age in Years 1 Male 122 18-42 219 2 43-67 124 3 68-89 143 92 92 Tests of Between-Subjects Effects Dependent Variable: Stroop Test Type III Sum of Squares Source df Mean Square F Sig. Corrected Model 8424.288* 6 1404.048 31.273 <.001 Intercept 5094.582 1 5094.582 113.475 <.001 Genderl 304.358 1. 304.358 6.779 .010 Agel 7571.542 2523.847 56.215 <.001 Genderl * Agel 554.294 277.147 6.173 .002 2 Error 21550.175 480 44.896 Total 56137.066 487 Corrected Total 29974.463 486 a. R Squared = .281 (Adjusted R Squared .272) %3D
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

Transcribed Image Text:### Between-Subjects Factors
This section outlines the categorization of subjects based on gender and age.
- **Gender**
- Female: 365
- Male: 122
- **Age in Years**
- 18–42: 219
- 43–67: 124
- 68–89: 143
- 92: 1
### Tests of Between-Subjects Effects
The table presents the results of an analysis examining the effects on the Stroop Test, with relevant statistical metrics provided for different factors.
- **Dependent Variable:** Stroop Test
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
|----------------|-------------------------|----|-------------|---------|-------|
| Corrected Model| 8424.288 | 6 | 1404.048 | 31.273 | <.001 |
| Intercept | 5094.582 | 1 | 5094.582 | 113.475 | <.001 |
| Gender1 | 304.358 | 1 | 304.358 | 6.779 | .010 |
| Age1 | 7571.542 | 3 | 2523.847 | 56.215 | <.001 |
| Gender1 * Age1 | 554.294 | 2 | 277.147 | 6.173 | .002 |
### Additional Statistics
- **Error:** 21550.175
- **Total:** 56137.066
- **Corrected Total:** 29974.463
- **R Squared = .281** (Adjusted R Squared = .272)
This analysis explores how gender and age impact performance on the Stroop Test, indicated by significant p-values in the model effects.

Transcribed Image Text:**Text Transcription:**
**What is H₀ for the main effect of gender?**
- O The mean Stroop task score for men is the same as the mean Stroop task score for women
- O The mean Stroop task score for men is not the same as the mean Stroop task score for women
- O The mean Stroop task scores for men and women are all not different from each other
- O The mean Stroop task score for men is not different from the mean Stroop task score for women
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