Questions: A certain drug is used to treat asthma. In a clinical trial of the drug, 29 of 283 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 11% 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. C. H0: p=0.11 D. H0: p ≠ 0.11 Decide whether to reject the null hypothesis. Choose the correct answer below. A. Reject the null hypothesis because the P-value is greater than the significance level, α. B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, α. C. Fail to reject the null hypothesis because the P-value is greater than the significance level, α. D. Reject the null hypothesis because the P-value is less than or equal to the significance level, α. e. What is the final conclusion? A. There is sufficient evidence to support the claim that less than 11% of treated subjects experienced headaches. B. There is not sufficient evidence to support the claim that less than 11% of treated subjects experienced headaches. C. There is not sufficient evidence to warrant rejection of the claim that less than 11% of treated subjects experienced headaches. D. There is sufficient evidence to warrant rejection of the claim that less than 11% of treated subjects experienced headaches.

A certain drug is used to treat asthma. In a clinical trial of the drug, 29 of 283 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 11% 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.
C. H0: p=0.11
D. H0: p ≠ 0.11

Decide whether to reject the null hypothesis. Choose the correct answer below.
A. Reject the null hypothesis because the P-value is greater than the significance level, α.
B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, α.
C. Fail to reject the null hypothesis because the P-value is greater than the significance level, α.
D. Reject the null hypothesis because the P-value is less than or equal to the significance level, α.
e. What is the final conclusion?
A. There is sufficient evidence to support the claim that less than 11% of treated subjects experienced headaches.
B. There is not sufficient evidence to support the claim that less than 11% of treated subjects experienced headaches.
C. There is not sufficient evidence to warrant rejection of the claim that less than 11% of treated subjects experienced headaches.
D. There is sufficient evidence to warrant rejection of the claim that less than 11% of treated subjects experienced headaches.
Transcript text: A certain drug is used to treat asthma. In a clinical trial of the drug, 29 of 283 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 $11 \%$ 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. C. $\mathrm{H}_{0}: p=0.11$ D. $H_{0}: p \neq 0.11$ Decide whether to reject the null hypothesis. Choose the correct answer below. A. Reject the null hypothesis because the P -value is greater than the significance level, $\alpha$. B. Fail to reject the null hypothesis because the P -value is less than or equal to the significance level, $\alpha$. C. Fail to reject the null hypothesis because the $P$-value is greater than the significance level, $\alpha$. D. Reject the null hypothesis because the P -value is less than or equal to the significance level, $\alpha$. e. What is the final conclusion? A. There is sufficient evidence to support the claim that less than $11 \%$ of treated subjects experienced headaches. B. There is not sufficient evidence to support the claim that less than $11 \%$ of treated subjects experienced headaches. C. There is not sufficient evidence to warrant rejection of the claim that less than $11 \%$ of treated subjects experienced headaches. D. There is sufficient evidence to warrant rejection of the claim that less than $11 \%$ of treated subjects experienced headaches.
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Solution

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Solution Steps

Step 1: Hypothesis Formulation

We are testing the claim that less than \( 11\% \) of treated subjects experienced headaches. The null and alternative hypotheses are defined as follows:

  • Null Hypothesis (\( H_0 \)): \( p = 0.11 \)
  • Alternative Hypothesis (\( H_a \)): \( p < 0.11 \)
Step 2: Test Statistic Calculation

The test statistic \( Z \) is calculated using the formula:

\[ Z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1 - p_0)}{n}}} \]

Where:

  • \( \hat{p} = \frac{x}{n} = \frac{29}{283} \approx 0.1020 \)
  • \( p_0 = 0.11 \)
  • \( n = 283 \)

Substituting the values, we find:

\[ Z = \frac{0.1020 - 0.11}{\sqrt{\frac{0.11(1 - 0.11)}{283}}} \approx -0.4047 \]

Step 3: P-value Calculation

The P-value associated with the test statistic \( Z = -0.4047 \) is calculated to be:

\[ \text{P-value} \approx 0.3429 \]

Step 4: Critical Region and Decision

For a significance level of \( \alpha = 0.01 \) in a left-tailed test, the critical value is:

\[ Z < -2.3263 \]

Since the calculated test statistic \( Z = -0.4047 \) does not fall into the critical region, we compare the P-value with the significance level:

\[ 0.3429 > 0.01 \]

Thus, we fail to reject the null hypothesis.

Step 5: Conclusion

Based on the results, we conclude that there is not sufficient evidence to support the claim that less than \( 11\% \) of treated subjects experienced headaches.

Final Answer

The decision is to fail to reject the null hypothesis, and the conclusion is that there is not sufficient evidence to support the claim.

\(\boxed{\text{Decision: Fail to reject } H_0; \text{ Conclusion: There is not sufficient evidence to support the claim.}}\)

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