C4. Suppose we used General Social Survey data to examine the relationship between educational attainment (RDEGREE: 0 = less than high school, 1 = bigh school degree, 2 = some college or more) and the variable HELPPOOR, which measures support of the statement that the government in Washington should do everything possible to improve the Standard of living of all poor Americans. The obtained chi-square is 40.43. Based on an alpha of .05, do you reject the null hypothesis? Explain. %3D %3D %3D

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C4. Suppose we used General Social Survey data to examine the relationship between educational attainment (RDEGREE: 0 = less than high school, 1 = high school degree, 2 = some college or more) and the variable HELPPOOR, which measures support of the statement that the government in Washington should do everything possible to improve the standard of living of all poor Americans. The obtained chi-square is 40.43. Based on an alpha of .05, do you reject the null hypothesis? Explain.
Transcribed Image Text:**Transcription:** C4. Suppose we used General Social Survey data to examine the relationship between educational attainment (RDEGREE: 0 = less than high school, 1 = high school degree, 2 = some college or more) and the variable HELPPOOR, which measures support of the statement that the government in Washington should do everything possible to improve the standard of living of all poor Americans. The obtained chi-square is 40.43. Based on an alpha of .05, do you reject the null hypothesis? Explain.
**Crosstabulation Analysis: Should Government Improve Standard of Living?**

This table presents a crosstabulation analysis examining the opinions on whether the government should improve the standard of living. The data is categorized across three levels of "R Degree Recoded Degree" (.00, 1.00, and 2.00).

### Table Layout

- **Rows** (Opinions on Government Role):
  1. Govt Action
  2. [Unnamed]
  3. Agree With Both
  4. [Unnamed]
  5. People Help Selves

- **Columns** (R Degree Recoded Degree):
  1. .00
  2. 1.00
  3. 2.00
  4. Total

### Key Findings:

1. **Govt Action**: 
   - .00: 30 
   - 1.00: 65 
   - 2.00: 32 
   - Total: 127

2. **[Unnamed]**:
   - .00: 6 
   - 1.00: 32 
   - 2.00: 41 
   - Total: 79

3. **Agree With Both**: 
   - .00: 32 
   - 1.00: 153 
   - 2.00: 126 
   - Total: 311

4. **[Unnamed]**:
   - .00: 6 
   - 1.00: 56 
   - 2.00: 58 
   - Total: 120

5. **People Help Selves**:
   - .00: 14 
   - 1.00: 69 
   - 2.00: 35 
   - Total: 118

### Overall Totals:
- .00: 88
- 1.00: 375
- 2.00: 292
- Overall Total: 755

**Interpretation**:
The majority of respondents (375) fall under the 1.00 category, showing diverse opinions, particularly agreeing with both governmental and self-help actions (311 respondents). This suggests a balanced perspective on the role of government versus individual responsibility in improving living standards.
Transcribed Image Text:**Crosstabulation Analysis: Should Government Improve Standard of Living?** This table presents a crosstabulation analysis examining the opinions on whether the government should improve the standard of living. The data is categorized across three levels of "R Degree Recoded Degree" (.00, 1.00, and 2.00). ### Table Layout - **Rows** (Opinions on Government Role): 1. Govt Action 2. [Unnamed] 3. Agree With Both 4. [Unnamed] 5. People Help Selves - **Columns** (R Degree Recoded Degree): 1. .00 2. 1.00 3. 2.00 4. Total ### Key Findings: 1. **Govt Action**: - .00: 30 - 1.00: 65 - 2.00: 32 - Total: 127 2. **[Unnamed]**: - .00: 6 - 1.00: 32 - 2.00: 41 - Total: 79 3. **Agree With Both**: - .00: 32 - 1.00: 153 - 2.00: 126 - Total: 311 4. **[Unnamed]**: - .00: 6 - 1.00: 56 - 2.00: 58 - Total: 120 5. **People Help Selves**: - .00: 14 - 1.00: 69 - 2.00: 35 - Total: 118 ### Overall Totals: - .00: 88 - 1.00: 375 - 2.00: 292 - Overall Total: 755 **Interpretation**: The majority of respondents (375) fall under the 1.00 category, showing diverse opinions, particularly agreeing with both governmental and self-help actions (311 respondents). This suggests a balanced perspective on the role of government versus individual responsibility in improving living standards.
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