Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho p=0.3 versus H₁: p>0.3 n=100; x = 40, a = 0.1 Click here to view page 1 of the table. Click here to view page 2 of the table. Calculate the test statistic, Zo Zo = 2.18 (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.)

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I need identifying the P value.
### Hypothesis Testing Using the P-Value Approach

#### Problem Statement

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

**Null Hypothesis (H₀):** p = 0.3  
**Alternative Hypothesis (H₁):** p > 0.3  

Given Data:
- n = 100
- x = 40
- α = 0.1

[Click here to view page 1 of the table.](#)
[Click here to view page 2 of the table.](#)

#### Solution Steps

1. **Calculate the Test Statistic, Z₀**

    \( Z_0 = 2.18 \)
    
    (Round to two decimal places as needed.)

2. **Identify the P-Value**

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

---

This sample hypothesis test is focused on determining if the sample proportion differs significantly from the hypothesized population proportion. The calculated test statistic is 2.18, which compares the sample proportion to the null hypothesis value. The next step involves identifying the corresponding P-value from standard normal distribution tables or using statistical software.

For further detailed steps and a comprehensive understanding, users are recommended to refer to statistical textbooks or online resources about hypothesis testing and P-values.
Transcribed Image Text:### Hypothesis Testing Using the P-Value Approach #### Problem Statement **Objective:** Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. **Null Hypothesis (H₀):** p = 0.3 **Alternative Hypothesis (H₁):** p > 0.3 Given Data: - n = 100 - x = 40 - α = 0.1 [Click here to view page 1 of the table.](#) [Click here to view page 2 of the table.](#) #### Solution Steps 1. **Calculate the Test Statistic, Z₀** \( Z_0 = 2.18 \) (Round to two decimal places as needed.) 2. **Identify the P-Value** \( \text{P-value} = \boxed{} \) (Round to three decimal places as needed.) --- This sample hypothesis test is focused on determining if the sample proportion differs significantly from the hypothesized population proportion. The calculated test statistic is 2.18, which compares the sample proportion to the null hypothesis value. The next step involves identifying the corresponding P-value from standard normal distribution tables or using statistical software. For further detailed steps and a comprehensive understanding, users are recommended to refer to statistical textbooks or online resources about hypothesis testing and P-values.
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