Group Statistics Std. Error Mean female N Mean Std. Deviation writing score 00 male 91 50.1209 10.30516 1.08027 1.00 female 109 54.9908 8.13372 .77907 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Sig. (2-tailed) Mean Difference Std. Error Difference F Sig. df Lower Upper writing score Equal variances assumed 11.133 .001 -3.734 198 .000 -4.86995 1.30419 -7.44183 -2.29806 -4.86995 -7.49916 Equal variances not assumed -3.656 169.70 .000 1.33189 -2.24073

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How would I interpret the output of an SPSS table, and transform this output into narrative form (as you would with the Results section of a research paper).  

### Group Statistics

The table shows descriptive statistics for writing scores by gender:

- **Gender Representation:**
  - Male (coded as .00): 91 participants
  - Female (coded as 1.00): 109 participants

- **Writing Scores:**
  - **Mean:**
    - Males: 50.1209
    - Females: 54.9908
  - **Standard Deviation:**
    - Males: 10.30516
    - Females: 8.13372
  - **Standard Error Mean:**
    - Males: 1.08027
    - Females: 0.77907

### Independent Samples Test

The table below compares male and female writing scores using an independent samples t-test, with details as follows:

- **Levene’s Test for Equality of Variances:**
  - **F-value:** 11.133
  - **Significance (Sig.):** 0.001 (indicating a significant difference in variances)

- **t-test for Equality of Means:**
  - **Equal Variances Assumed:**
    - **t-value:** -3.734
    - **Degrees of Freedom (df):** 198
    - **Significance (2-tailed):** 0.000
    - **Mean Difference:** -4.86995
    - **Standard Error Difference:** 1.30419
    - **95% Confidence Interval of the Difference:**
      - Lower: -7.44183
      - Upper: -2.29806

  - **Equal Variances Not Assumed:**
    - **t-value:** -3.656
    - **Degrees of Freedom (df):** 169.70
    - **Significance (2-tailed):** 0.000
    - **Mean Difference:** -4.86995
    - **Standard Error Difference:** 1.33189
    - **95% Confidence Interval of the Difference:**
      - Lower: -7.49916
      - Upper: -2.24073

### Interpretation

The analysis indicates a statistically significant difference in writing scores between males and females, with females scoring higher on average. Levene's test suggests unequal variances, but both assumptions confirm the significance of the mean difference.
Transcribed Image Text:### Group Statistics The table shows descriptive statistics for writing scores by gender: - **Gender Representation:** - Male (coded as .00): 91 participants - Female (coded as 1.00): 109 participants - **Writing Scores:** - **Mean:** - Males: 50.1209 - Females: 54.9908 - **Standard Deviation:** - Males: 10.30516 - Females: 8.13372 - **Standard Error Mean:** - Males: 1.08027 - Females: 0.77907 ### Independent Samples Test The table below compares male and female writing scores using an independent samples t-test, with details as follows: - **Levene’s Test for Equality of Variances:** - **F-value:** 11.133 - **Significance (Sig.):** 0.001 (indicating a significant difference in variances) - **t-test for Equality of Means:** - **Equal Variances Assumed:** - **t-value:** -3.734 - **Degrees of Freedom (df):** 198 - **Significance (2-tailed):** 0.000 - **Mean Difference:** -4.86995 - **Standard Error Difference:** 1.30419 - **95% Confidence Interval of the Difference:** - Lower: -7.44183 - Upper: -2.29806 - **Equal Variances Not Assumed:** - **t-value:** -3.656 - **Degrees of Freedom (df):** 169.70 - **Significance (2-tailed):** 0.000 - **Mean Difference:** -4.86995 - **Standard Error Difference:** 1.33189 - **95% Confidence Interval of the Difference:** - Lower: -7.49916 - Upper: -2.24073 ### Interpretation The analysis indicates a statistically significant difference in writing scores between males and females, with females scoring higher on average. Levene's test suggests unequal variances, but both assumptions confirm the significance of the mean difference.
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