A certain drug is used to treat asthma. In a clinical trial of the drug, 30 of 296 treated subjects experienced headaches (based on data from the manufacturer). The accompanying calculator display shows results from a test of the claim that less than 12% of treated subjects experienced headaches. Use the normal distribution as an approximation to the binomial distribution and assume a 0.01 significance level to complete parts (a) through (e) below. 1-PropZTest prop <0.12 z--0.987327567 p= 0.1617410403 p=0.1013513514 n= 296 a. Is the test two-tailed, left-tailed, or right-tailed? O Left-tailed test Two-tailed test
A certain drug is used to treat asthma. In a clinical trial of the drug, 30 of 296 treated subjects experienced headaches (based on data from the manufacturer). The accompanying calculator display shows results from a test of the claim that less than 12% of treated subjects experienced headaches. Use the normal distribution as an approximation to the binomial distribution and assume a 0.01 significance level to complete parts (a) through (e) below. 1-PropZTest prop <0.12 z--0.987327567 p= 0.1617410403 p=0.1013513514 n= 296 a. Is the test two-tailed, left-tailed, or right-tailed? O Left-tailed test Two-tailed test
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
Transcribed Image Text:**Title: Statistical Analysis of Asthma Drug Clinical Trial**
**Introduction:**
In a clinical trial of a drug used to treat asthma, 30 out of 296 treated subjects experienced headaches. The drug manufacturer claims that less than 12% of treated subjects experience headaches. Using the normal distribution as an approximation to the binomial distribution, and assuming a 0.01 significance level, we will explore the hypothesis testing process.
**Questions and Explanation:**
**a. Tail Type Test:**
- Determine if the test is two-tailed, left-tailed, or right-tailed.
- Options:
- Left-tailed test
- Two-tailed test
- Right-tailed test
**b. Test Statistic:**
- Calculate the z-score.
- "Round to two decimal places as needed."
**c. P-value:**
- Determine the P-value.
- "Round to four decimal places as needed."
**d. Null Hypothesis:**
- Identify and evaluate the null hypothesis: \( H_0: p = 0.12 \), \( p > 0.12 \), \( p \neq 0.12 \), \( p < 0.12 \).
- Decide whether to reject the null hypothesis:
- Options include:
- Reject due to P-value greater than significance level.
- Reject due to P-value less than/equal to significance level.
- Fail to reject due to P-value greater than significance level.
- Fail to reject due to P-value less than/equal to significance level.
**e. Final Conclusion:**
- Based on the analysis, conclude if the manufacturer's claim holds true.
**Graph/Diagram:**
- The diagram included displays a 1-PropZTest result.
- Key values:
- \( \text{prop} < 0.12 \)
- \( z = -0.987327567 \)
- \( p = 0.1617140403 \)
- \( \hat{p} = 0.1013513514 \)
- \( n = 296 \)
**Summary:**
This exercise involves understanding hypothesis testing in a real-world context, focusing on determining if evidence supports the manufacturer’s claim about the drug’s side effects.
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