Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.81 versus H₁: p=0.81 n=500, x=390, α=0.05 ... s npo (1-Po) ≥10? Select the correct choice below and fill in the answer box to complete your choice. Type an integer or a decimal. Do not round.) A. No, because npo (1-Po) B. Yes, because npo (1-Po) = 76.95 ow find p = 0.780 (Type an integer or a decimal. Do not round.) nd the test statistic Zo- 4 = -1.71 (Round to two decimal places as needed.) nd the P-value. value= (Round to three decimal places as needed.)

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## Hypothesis Testing Using the P-Value Approach

**Objective:** Test the hypothesis using the P-value approach and verify the requirements of the test.

**Given Data:**
- Null hypothesis \( H_0: p = 0.81 \)
- Alternative hypothesis \( H_1: p \ne 0.81 \)
- Sample size \( n = 500 \)
- Number of successes \( x = 390 \)
- Significance level \( \alpha = 0.05 \)

**Step-by-Step Procedure:**

1. **Verify Sample Size Requirement:**
   \[
   n p_0 (1 - p_0) \ge 10
   \]
   - Calculation:
     \[
     n p_0 (1 - p_0) = 500 \times 0.81 \times (1 - 0.81) = 500 \times 0.81 \times 0.19 = 76.95
     \]
   - Conclusion: 
     \[
     \text{Yes, because } n p_0 (1 - p_0) = 76.95
     \]

2. **Calculate \( \hat{p} \):**
   \[
   \hat{p} = \frac{x}{n} = \frac{390}{500} = 0.780
   \]
   *(Type as an integer or a decimal. Do not round.)*

3. **Compute the Test Statistic \( z_0 \):**
   \[
   z_0 = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0 (1 - p_0)}{n}}}
   \]
   - Calculation:
     \[
     z_0 = \frac{0.780 - 0.81}{\sqrt{\frac{0.81 \times 0.19}{500}}} = \frac{-0.03}{\sqrt{\frac{0.1539}{500}}} = \frac{-0.03}{\sqrt{0.0003078}} = \frac{-0.03}{0.01754} \approx -1.71
     \]
   *(Round to two decimal places as needed.)*

4. **Determine the P-value:**
   \[
   \text{P-value} = (Round to three decimal places as needed.)
Transcribed Image Text:## Hypothesis Testing Using the P-Value Approach **Objective:** Test the hypothesis using the P-value approach and verify the requirements of the test. **Given Data:** - Null hypothesis \( H_0: p = 0.81 \) - Alternative hypothesis \( H_1: p \ne 0.81 \) - Sample size \( n = 500 \) - Number of successes \( x = 390 \) - Significance level \( \alpha = 0.05 \) **Step-by-Step Procedure:** 1. **Verify Sample Size Requirement:** \[ n p_0 (1 - p_0) \ge 10 \] - Calculation: \[ n p_0 (1 - p_0) = 500 \times 0.81 \times (1 - 0.81) = 500 \times 0.81 \times 0.19 = 76.95 \] - Conclusion: \[ \text{Yes, because } n p_0 (1 - p_0) = 76.95 \] 2. **Calculate \( \hat{p} \):** \[ \hat{p} = \frac{x}{n} = \frac{390}{500} = 0.780 \] *(Type as an integer or a decimal. Do not round.)* 3. **Compute the Test Statistic \( z_0 \):** \[ z_0 = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0 (1 - p_0)}{n}}} \] - Calculation: \[ z_0 = \frac{0.780 - 0.81}{\sqrt{\frac{0.81 \times 0.19}{500}}} = \frac{-0.03}{\sqrt{\frac{0.1539}{500}}} = \frac{-0.03}{\sqrt{0.0003078}} = \frac{-0.03}{0.01754} \approx -1.71 \] *(Round to two decimal places as needed.)* 4. **Determine the P-value:** \[ \text{P-value} = (Round to three decimal places as needed.)
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