Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.89 versus H₁: p *0.89 n = 500, x=440, α = 0.01 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.) A. Yes, because npo (1-P) = 48.95. OB. No, because npo (1-Po) = Now find p. p= 0.88 (Type an integer or a decimal. Do not round.) Find the test statistic Zo. Zo= -0.72 (Round to two decimal places as needed.) Find the P-value. P-value= (Round to three decimal places as needed.)

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**Testing the Hypothesis Using the P-value Approach**

**Problem Statement:**

- **Hypotheses**:
  - Null hypothesis (\(H_0\)): \(p = 0.89\) 
  - Alternative hypothesis (\(H_1\)): \(p \neq 0.89\) 
- **Given values**:
  - Sample size (\(n\)): 500
  - Number of successes (\(x\)): 440
  - Significance level (\(\alpha\)): 0.01

**Step-by-Step Verification:**

1. **Verify Requirement: \(np_0(1 - p_0) \geq 10\)**:

   Calculate \(np_0(1 - p_0)\):

   \[
   np_0(1 - p_0) = 48.95
   \]

   Conclusion: Yes, because \(np_0(1 - p_0) = 48.95\).

2. **Calculate \(\hat{p}\)**:

   \[
   \hat{p} = \frac{x}{n} = 0.88 
   \]

3. **Find the Test Statistic \(z_0\)**:

   \[
   z_0 = -0.72
   \]

   (Round to two decimal places as needed.)

4. **Find the P-value**:

   P-value: \(\_\_\_\)
   
   (Round to three decimal places as needed.)

This process involves checking whether the sample meets requirements, calculating the sample proportion, determining the test statistic, and finally finding the P-value to make a decision regarding the hypothesis.
Transcribed Image Text:**Testing the Hypothesis Using the P-value Approach** **Problem Statement:** - **Hypotheses**: - Null hypothesis (\(H_0\)): \(p = 0.89\) - Alternative hypothesis (\(H_1\)): \(p \neq 0.89\) - **Given values**: - Sample size (\(n\)): 500 - Number of successes (\(x\)): 440 - Significance level (\(\alpha\)): 0.01 **Step-by-Step Verification:** 1. **Verify Requirement: \(np_0(1 - p_0) \geq 10\)**: Calculate \(np_0(1 - p_0)\): \[ np_0(1 - p_0) = 48.95 \] Conclusion: Yes, because \(np_0(1 - p_0) = 48.95\). 2. **Calculate \(\hat{p}\)**: \[ \hat{p} = \frac{x}{n} = 0.88 \] 3. **Find the Test Statistic \(z_0\)**: \[ z_0 = -0.72 \] (Round to two decimal places as needed.) 4. **Find the P-value**: P-value: \(\_\_\_\) (Round to three decimal places as needed.) This process involves checking whether the sample meets requirements, calculating the sample proportion, determining the test statistic, and finally finding the P-value to make a decision regarding the hypothesis.
Expert Solution
Step 1: Understanding the problem

sample size (n)=500

x=440

α=0.01

Null Hypothesis H0: p=0.89

Alternate Hypothesis Ha: p≠0.89



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