Does nausea appear to be a problematic adverse reaction? Since the rate of nausea appears to be relatively it a problematic adverse reaction.

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**Hypothesis Testing for Adverse Reactions in Clinical Trials**

**Objective**: Evaluate whether nausea is a problematic adverse reaction for a drug used to prevent blood clots, using a 0.10 significance level.

**Scenario**: In clinical trials, 5942 patients took the drug. Among them, 156 developed nausea. We will test the claim that 3% of users develop nausea.

**Hypotheses**:
- **Option A**:
  - \( H_0: p \neq 0.03 \)
  - \( H_1: p = 0.03 \)
- **Option B**:
  - \( H_0: p = 0.03 \)
  - \( H_1: p > 0.03 \)
- **Option C**:
  - \( H_0: p = 0.03 \)
  - \( H_1: p < 0.03 \)
- **Option D**:
  - \( H_0: p = 0.03 \)
  - \( H_1: p \neq 0.03 \)

**Procedure**:

1. **Test Statistic**:
   - Calculate the test statistic for the hypothesis test.
   - The test statistic value is to be calculated and rounded to two decimal places.

2. **P-value**:
   - Determine the P-value for the hypothesis test.
   - The P-value should be rounded to three decimal places.

3. **Conclusion**:
   - Use the calculated P-value to determine whether to reject or fail to reject the null hypothesis \( H_0 \) at the 0.10 significance level.

**Possible Conclusions**:
- **Option A**: Reject \( H_0 \). Insufficient evidence to reject the claim that 3% develop nausea.
- **Option B**: Fail to reject \( H_0 \). Sufficient evidence to support the claim that 3% develop nausea.
- **Option C**: Fail to reject \( H_0 \). Insufficient evidence to reject the claim that 3% develop nausea.
- **Option D**: Reject \( H_0 \). Sufficient evidence to support the claim that 3% develop nausea.

**Note**: Selecting the appropriate hypothesis and conclusion requires computation of the test statistic and P-value, which inform the final decision in this analysis.
Transcribed Image Text:**Hypothesis Testing for Adverse Reactions in Clinical Trials** **Objective**: Evaluate whether nausea is a problematic adverse reaction for a drug used to prevent blood clots, using a 0.10 significance level. **Scenario**: In clinical trials, 5942 patients took the drug. Among them, 156 developed nausea. We will test the claim that 3% of users develop nausea. **Hypotheses**: - **Option A**: - \( H_0: p \neq 0.03 \) - \( H_1: p = 0.03 \) - **Option B**: - \( H_0: p = 0.03 \) - \( H_1: p > 0.03 \) - **Option C**: - \( H_0: p = 0.03 \) - \( H_1: p < 0.03 \) - **Option D**: - \( H_0: p = 0.03 \) - \( H_1: p \neq 0.03 \) **Procedure**: 1. **Test Statistic**: - Calculate the test statistic for the hypothesis test. - The test statistic value is to be calculated and rounded to two decimal places. 2. **P-value**: - Determine the P-value for the hypothesis test. - The P-value should be rounded to three decimal places. 3. **Conclusion**: - Use the calculated P-value to determine whether to reject or fail to reject the null hypothesis \( H_0 \) at the 0.10 significance level. **Possible Conclusions**: - **Option A**: Reject \( H_0 \). Insufficient evidence to reject the claim that 3% develop nausea. - **Option B**: Fail to reject \( H_0 \). Sufficient evidence to support the claim that 3% develop nausea. - **Option C**: Fail to reject \( H_0 \). Insufficient evidence to reject the claim that 3% develop nausea. - **Option D**: Reject \( H_0 \). Sufficient evidence to support the claim that 3% develop nausea. **Note**: Selecting the appropriate hypothesis and conclusion requires computation of the test statistic and P-value, which inform the final decision in this analysis.
**Does nausea appear to be a problematic adverse reaction?**

Since the rate of nausea appears to be relatively [dropdown menu] it [dropdown menu] a problematic adverse reaction.
Transcribed Image Text:**Does nausea appear to be a problematic adverse reaction?** Since the rate of nausea appears to be relatively [dropdown menu] it [dropdown menu] a problematic adverse reaction.
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