The df2 for the main effect of gender is:  Choices:   1. 481 2. 486 3. 487

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The df2 for the main effect of gender is: 
Choices:
 
1. 481
2. 486
3. 487
**Between-Subjects Factors Table:**

This table describes the distribution of participants across different categorical variables within the study.

- **Gender:**
  - Value Label 0: Female, N (number of participants) = 365
  - Value Label 1: Male, N = 122

- **Age in Years:**
  - Value Label 1: 18-42 years, N = 219
  - Value Label 2: 43-67 years, N = 124
  - Value Label 3: 68-89 years, N = 143
  - Value Label 92: N = 1 (Age range not specified for this participant)

**Tests of Between-Subjects Effects Table:**

This table provides results from a statistical analysis, showing how different factors affect the dependent variable, which is the Stroop Test in this context.

- **Dependent Variable:** Stroop Test

- **Source of Variation:**
  - **Corrected Model:**
    - Type III Sum of Squares = 8424.288
    - Degrees of Freedom (df) = 6
    - Mean Square = 1404.048
    - F (F-statistic) = 31.273
    - Sig. (Significance Level) < .001
    
  - **Intercept:**
    - Type III Sum of Squares = 5094.582
    - df = 1
    - Mean Square = 5094.582
    - F = 113.475
    - Sig. < .001

  - **Gender1:**
    - Type III Sum of Squares = 304.358
    - df = 1
    - Mean Square = 304.358
    - F = 6.779
    - Sig. = .010

  - **Age1:**
    - Type III Sum of Squares = 7571.542
    - df = 3
    - Mean Square = 2523.847
    - F = 56.215
    - Sig. < .001

  - **Gender1 * Age1 Interaction:**
    - Type III Sum of Squares = 554.294
    - df = 2
    - Mean Square = 277.147
    - F = 6.173
    - Sig. = .002

- **Error:**
  - Type III
Transcribed Image Text:**Between-Subjects Factors Table:** This table describes the distribution of participants across different categorical variables within the study. - **Gender:** - Value Label 0: Female, N (number of participants) = 365 - Value Label 1: Male, N = 122 - **Age in Years:** - Value Label 1: 18-42 years, N = 219 - Value Label 2: 43-67 years, N = 124 - Value Label 3: 68-89 years, N = 143 - Value Label 92: N = 1 (Age range not specified for this participant) **Tests of Between-Subjects Effects Table:** This table provides results from a statistical analysis, showing how different factors affect the dependent variable, which is the Stroop Test in this context. - **Dependent Variable:** Stroop Test - **Source of Variation:** - **Corrected Model:** - Type III Sum of Squares = 8424.288 - Degrees of Freedom (df) = 6 - Mean Square = 1404.048 - F (F-statistic) = 31.273 - Sig. (Significance Level) < .001 - **Intercept:** - Type III Sum of Squares = 5094.582 - df = 1 - Mean Square = 5094.582 - F = 113.475 - Sig. < .001 - **Gender1:** - Type III Sum of Squares = 304.358 - df = 1 - Mean Square = 304.358 - F = 6.779 - Sig. = .010 - **Age1:** - Type III Sum of Squares = 7571.542 - df = 3 - Mean Square = 2523.847 - F = 56.215 - Sig. < .001 - **Gender1 * Age1 Interaction:** - Type III Sum of Squares = 554.294 - df = 2 - Mean Square = 277.147 - F = 6.173 - Sig. = .002 - **Error:** - Type III
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