hino viruses typically cause common colds. In a test of the effectiveness of echinacea, 36 of the 42 subjects treated with echinacea developed rhinovirus infections. In a placebo gr 7 of the 110 subjects developed rhinovirus infections. Use a 0.01 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through elow. Test the claim using a hypothesis test. onsider the first sample to be the sample of subjects treated with echinacea and the second sample to be the sample of subjects treated with a placebo. What are the null and ternative hypotheses for the hypothesis test? DA. Ho: P1 #P2 O B. Ho: P1 = P2 H:P, #P2 OC. Ho: P1 sP2 H:P, #P2 H1: P, = P2 O D. Ho: P1 2 P2 H: P, #P2 O E. Ho: P1 = P2 H: Pq P2 lentify the test statistic.

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**Hypothesis Testing for the Effectiveness of Echinacea on Rhinovirus Infections**

Rhino viruses typically cause common colds. In a study examining the effectiveness of echinacea, 36 out of 42 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 97 out of 110 subjects developed rhinovirus infections. We will conduct a hypothesis test at a significance level of 0.01 to determine if echinacea has an effect on rhinovirus infections.

### a. Hypothesis Test

**Null and Alternative Hypotheses:**

Consider the first sample to be subjects treated with echinacea and the second sample to be subjects treated with a placebo. Select the correct null (H₀) and alternative (H₁) hypotheses:

- A. \(H₀: p_1 \neq p_2\), \(H₁: p_1 = p_2\)
- B. \(H₀: p_1 = p_2\), \(H₁: p_1 \neq p_2\)
- C. \(H₀: p_1 \leq p_2\), \(H₁: p_1 \neq p_2\)
- D. \(H₀: p_1 \geq p_2\), \(H₁: p_1 \neq p_2\)
- E. \(H₀: p_1 = p_2\), \(H₁: p_1 < p_2\)
- F. \(H₀: p_1 = p_2\), \(H₁: p_1 > p_2\)

**Identify the test statistic:**

\[
z = \text{(Round to two decimal places as needed.)}
\]

**Identify the P-value:**

\[
\text{P-value} = \text{(Round to three decimal places as needed.)}
\]

**Conclusion:**

- The P-value is [ ] the significance level of \( \alpha = 0.01 \), so [ ] the null hypothesis.
- There [ ] sufficient evidence to support the claim that echinacea treatment has an effect.

### b. Confidence Interval

Test the claim by constructing an appropriate confidence interval.

**The 99% Confidence Interval:**

\[
< (p_1 - p_2) <
Transcribed Image Text:**Hypothesis Testing for the Effectiveness of Echinacea on Rhinovirus Infections** Rhino viruses typically cause common colds. In a study examining the effectiveness of echinacea, 36 out of 42 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 97 out of 110 subjects developed rhinovirus infections. We will conduct a hypothesis test at a significance level of 0.01 to determine if echinacea has an effect on rhinovirus infections. ### a. Hypothesis Test **Null and Alternative Hypotheses:** Consider the first sample to be subjects treated with echinacea and the second sample to be subjects treated with a placebo. Select the correct null (H₀) and alternative (H₁) hypotheses: - A. \(H₀: p_1 \neq p_2\), \(H₁: p_1 = p_2\) - B. \(H₀: p_1 = p_2\), \(H₁: p_1 \neq p_2\) - C. \(H₀: p_1 \leq p_2\), \(H₁: p_1 \neq p_2\) - D. \(H₀: p_1 \geq p_2\), \(H₁: p_1 \neq p_2\) - E. \(H₀: p_1 = p_2\), \(H₁: p_1 < p_2\) - F. \(H₀: p_1 = p_2\), \(H₁: p_1 > p_2\) **Identify the test statistic:** \[ z = \text{(Round to two decimal places as needed.)} \] **Identify the P-value:** \[ \text{P-value} = \text{(Round to three decimal places as needed.)} \] **Conclusion:** - The P-value is [ ] the significance level of \( \alpha = 0.01 \), so [ ] the null hypothesis. - There [ ] sufficient evidence to support the claim that echinacea treatment has an effect. ### b. Confidence Interval Test the claim by constructing an appropriate confidence interval. **The 99% Confidence Interval:** \[ < (p_1 - p_2) <
### Confidence Interval Analysis

#### Understanding the Conclusion Based on the Confidence Interval

The analysis focuses on determining whether echinacea treatment has an effect based on the confidence interval:

- **Statement:** Because the confidence interval limits [dropdown option] 0, there [dropdown option] appear to be a significant difference between the two proportions. There [dropdown option] evidence to support the claim that echinacea treatment has an effect.

#### Effects of Echinacea on Infection Rate

Based on the given results, determine if echinacea affects the infection rate:

- **Option A:** Echinacea does not appear to have a significant effect on the infection rate.
- **Option B:** Echinacea does appear to have a significant effect on the infection rate. There is evidence that it increases the infection rate.
- **Option C:** Echinacea does appear to have a significant effect on the infection rate. There is evidence that it lowers the infection rate.
- **Option D:** The results are inconclusive. 

This exercise helps understand the statistical significance of an echinacea treatment analysis through confidence intervals and decision-making based on available evidence.
Transcribed Image Text:### Confidence Interval Analysis #### Understanding the Conclusion Based on the Confidence Interval The analysis focuses on determining whether echinacea treatment has an effect based on the confidence interval: - **Statement:** Because the confidence interval limits [dropdown option] 0, there [dropdown option] appear to be a significant difference between the two proportions. There [dropdown option] evidence to support the claim that echinacea treatment has an effect. #### Effects of Echinacea on Infection Rate Based on the given results, determine if echinacea affects the infection rate: - **Option A:** Echinacea does not appear to have a significant effect on the infection rate. - **Option B:** Echinacea does appear to have a significant effect on the infection rate. There is evidence that it increases the infection rate. - **Option C:** Echinacea does appear to have a significant effect on the infection rate. There is evidence that it lowers the infection rate. - **Option D:** The results are inconclusive. This exercise helps understand the statistical significance of an echinacea treatment analysis through confidence intervals and decision-making based on available evidence.
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