e. Are the events "Yes" and "No" complementary events for this data set? Give a reason for your answer. Choose the correct answer below. OA. "Yes" and "No" are complementary because 1-P(Yes)=P(No). OB. "Yes" and "No" are complementary because 1 - P(Yes)*P(No). OC. "Yes" and "No" are not complementary because 1-P(Yes) = P(No). O D. "Yes" and "No" are not complementary because 1 - P(Yes)*P(No).

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Hello I need help answering part E of this problem. 

# Poll Analysis on Marijuana Legalization

A poll surveyed a sample of voters regarding the legalization of marijuana. The responses were categorized based on political affiliation and whether the respondent answered "Yes" or "No."

## Table Summary

| Political Affiliation | Yes | No  | Total |
|-----------------------|-----|-----|-------|
| Republican            | 145 | 142 | 287   |
| Democrat              | 231 | 97  | 328   |
| Independent           | 292 | 147 | 439   |
| **Total**             | 668 | 386 | 1054  |

### Questions and Solutions

**a. Probability of an Independent who said "Yes"**

- Calculation: \(\frac{292}{1054} \approx 27.7\%\)

**b. Probability of a Republican who said "No"**

- Calculation: \(\frac{142}{1054} \approx 13.5\%\)

**c. Are the events "Yes" and "Democrat" mutually exclusive?**

- Correct Answer: **C. "Yes" and "Democrat" are not mutually exclusive because a voter can vote "Yes" and be a "Democrat."**

**d. Are the events "Yes" and "No" mutually exclusive?**

- Correct Answer: **B. "Yes" and "No" are mutually exclusive because if a voter votes "Yes," they cannot also vote "No."**

**e. Are the events "Yes" and "No" complementary for this data set?**

- Correct Answer: **D. "Yes" and "No" are not complementary because 1 - P(Yes) ≠ P(No).**

This analysis examines the probabilities within different voter categories and explores concepts of mutually exclusive and complementary events in probability.
Transcribed Image Text:# Poll Analysis on Marijuana Legalization A poll surveyed a sample of voters regarding the legalization of marijuana. The responses were categorized based on political affiliation and whether the respondent answered "Yes" or "No." ## Table Summary | Political Affiliation | Yes | No | Total | |-----------------------|-----|-----|-------| | Republican | 145 | 142 | 287 | | Democrat | 231 | 97 | 328 | | Independent | 292 | 147 | 439 | | **Total** | 668 | 386 | 1054 | ### Questions and Solutions **a. Probability of an Independent who said "Yes"** - Calculation: \(\frac{292}{1054} \approx 27.7\%\) **b. Probability of a Republican who said "No"** - Calculation: \(\frac{142}{1054} \approx 13.5\%\) **c. Are the events "Yes" and "Democrat" mutually exclusive?** - Correct Answer: **C. "Yes" and "Democrat" are not mutually exclusive because a voter can vote "Yes" and be a "Democrat."** **d. Are the events "Yes" and "No" mutually exclusive?** - Correct Answer: **B. "Yes" and "No" are mutually exclusive because if a voter votes "Yes," they cannot also vote "No."** **e. Are the events "Yes" and "No" complementary for this data set?** - Correct Answer: **D. "Yes" and "No" are not complementary because 1 - P(Yes) ≠ P(No).** This analysis examines the probabilities within different voter categories and explores concepts of mutually exclusive and complementary events in probability.
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