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, a = 0.05 Is 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.) OA. No, because npo (1-Po) B. Yes, because npo (1-Po) = 76.95. Now find p. (Type an integer or a decimal. Do not round)

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### Hypothesis Testing Using the P-Value Approach

**Problem Statement:**

Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test.
- Null Hypothesis (H₀): p = 0.81
- Alternative Hypothesis (H₁): p ≠ 0.81
- Given values: 
  - n = 500
  - x = 390
  - α (alpha) = 0.05

### Step 1: Verify Test Requirements

Is \( np_0(1 - p_0) \geq 10 \)?  
Select the correct choice below and fill in the answer box to complete your choice.  
(Type an integer or a decimal. Do not round.)

- **Option A:** No, because \( np_0(1 - p_0) = \_\_\_ \)
- **Option B:** Yes, because \( np_0(1 - p_0) = 76.95 \)

*(The correct choice is Option B)*

### Step 2: Calculate Sample Proportion (\(\hat{p}\))

\[
\hat{p} = \frac{x}{n}
\]

Type the value of \(\hat{p}\) as an integer or a decimal. Do not round.

\[
\hat{p} = \_\_\_
\]

---

**Explanation:**

1. **Verification:**
   - Calculate \( np_0(1 - p_0) \):
     \[
     np_0(1 - p_0) = 500 \times 0.81 \times (1 - 0.81) = 500 \times 0.81 \times 0.19 = 76.95
     \]
   - Since \( 76.95 \geq 10 \), the requirement is met. Therefore, the correct choice is:
     - **Option B:** Yes, because \( np_0(1 - p_0) = 76.95 \)

2. **Sample Proportion:**
   - Calculate the sample proportion \(\hat{p}\):
     \[
     \hat{p} = \frac{390}{500} = 0.78
     \]
   - Enter \(\hat{p}\) as 0.78 in the answer box.

---

**Visual Aids:** No graphs or diagrams
Transcribed Image Text:### Hypothesis Testing Using the P-Value Approach **Problem Statement:** Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. - Null Hypothesis (H₀): p = 0.81 - Alternative Hypothesis (H₁): p ≠ 0.81 - Given values: - n = 500 - x = 390 - α (alpha) = 0.05 ### Step 1: Verify Test Requirements Is \( np_0(1 - p_0) \geq 10 \)? Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) - **Option A:** No, because \( np_0(1 - p_0) = \_\_\_ \) - **Option B:** Yes, because \( np_0(1 - p_0) = 76.95 \) *(The correct choice is Option B)* ### Step 2: Calculate Sample Proportion (\(\hat{p}\)) \[ \hat{p} = \frac{x}{n} \] Type the value of \(\hat{p}\) as an integer or a decimal. Do not round. \[ \hat{p} = \_\_\_ \] --- **Explanation:** 1. **Verification:** - Calculate \( np_0(1 - p_0) \): \[ np_0(1 - p_0) = 500 \times 0.81 \times (1 - 0.81) = 500 \times 0.81 \times 0.19 = 76.95 \] - Since \( 76.95 \geq 10 \), the requirement is met. Therefore, the correct choice is: - **Option B:** Yes, because \( np_0(1 - p_0) = 76.95 \) 2. **Sample Proportion:** - Calculate the sample proportion \(\hat{p}\): \[ \hat{p} = \frac{390}{500} = 0.78 \] - Enter \(\hat{p}\) as 0.78 in the answer box. --- **Visual Aids:** No graphs or diagrams
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