Using the data below: How do we create a bivariate analysis?

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Using the data below: How do we create a bivariate analysis?
**Title: Analyzing Sports Participation and Viewership**

**Introduction:**
This data set examines the relationship between gender, sports participation, and viewership among a sample of 16 people. The variables considered include gender (male [M] or female [F]), whether the individual plays sports (yes [Y] or no [N]), and whether they watch sports on TV (yes [Y] or no [N]).

**Hypothesis:**
People who play sports are more likely than others to watch sports on TV.

**Data Summary:**

| Case | Gender (M/F) | Play (Y/N) | Watch (Y/N) |
|------|--------------|------------|-------------|
| 1    | M            | Y          | Y           |
| 2    | M            | Y          | Y           |
| 3    | M            | Y          | Y           |
| 4    | M            | N          | N           |
| 5    | M            | Y          | N           |
| 6    | F            | Y          | Y           |
| 7    | F            | N          | N           |
| 8    | F            | N          | N           |
| 9    | F            | N          | N           |
| 10   | F            | N          | Y           |
| 11   | F            | N          | N           |
| 12   | F            | N          | N           |
| 13   | F            | N          | Y           |
| 14   | F            | N          | N           |
| 15   | F            | N          | Y           |
| 16   | F            | F          | N           |

**Analysis:**
- The data indicates a potential trend where males who play sports also watch sports on TV.
- Females in the sample are less likely to watch sports on TV regardless of participation.
- The majority of females in the sample neither play sports nor watch sports on TV.

**Conclusion:**
The data supports the hypothesis that individuals who play sports are more likely to watch sports on TV. Additional data could strengthen these insights and help explore gender differences in sports engagement and viewership.
Transcribed Image Text:**Title: Analyzing Sports Participation and Viewership** **Introduction:** This data set examines the relationship between gender, sports participation, and viewership among a sample of 16 people. The variables considered include gender (male [M] or female [F]), whether the individual plays sports (yes [Y] or no [N]), and whether they watch sports on TV (yes [Y] or no [N]). **Hypothesis:** People who play sports are more likely than others to watch sports on TV. **Data Summary:** | Case | Gender (M/F) | Play (Y/N) | Watch (Y/N) | |------|--------------|------------|-------------| | 1 | M | Y | Y | | 2 | M | Y | Y | | 3 | M | Y | Y | | 4 | M | N | N | | 5 | M | Y | N | | 6 | F | Y | Y | | 7 | F | N | N | | 8 | F | N | N | | 9 | F | N | N | | 10 | F | N | Y | | 11 | F | N | N | | 12 | F | N | N | | 13 | F | N | Y | | 14 | F | N | N | | 15 | F | N | Y | | 16 | F | F | N | **Analysis:** - The data indicates a potential trend where males who play sports also watch sports on TV. - Females in the sample are less likely to watch sports on TV regardless of participation. - The majority of females in the sample neither play sports nor watch sports on TV. **Conclusion:** The data supports the hypothesis that individuals who play sports are more likely to watch sports on TV. Additional data could strengthen these insights and help explore gender differences in sports engagement and viewership.
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