The test statistic of z = 2.47 is obtained when testing the claim that p>0.1. a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. b. Find the P-value. iooonoe louol of m-0 10 shuld wo roiect U chould wo foil t

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# Hypothesis Testing

In this section, we will review a sample problem related to hypothesis testing using the given test statistic. 

---

**Problem Statement**

The test statistic of \( z = 2.47 \) is obtained when testing the claim that \( p > 0.1 \).

**Questions:**

**a.** Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.

**b.** Find the P-value.

**c.** Using a significance level of \( \alpha = 0.10 \), should we reject \( H_0 \) or should we fail to reject \( H_0 \)?

---

**Step-by-Step Solution:**

### a. Type of Hypothesis Test

**Determine the Type:**

- Since the claim is \( p > 0.1 \), we are interested in whether the value is greater than 0.1.
- This indicates a **right-tailed** test, as we are looking for values significantly larger than 0.1.

**Answer for Part (a):**
- This is a **right-tailed** test.

### b. Finding the P-value

**Usage of the Standard Normal Distribution Table:**

- Click the links below to access the standard normal distribution table:
  - [Page 1 of the standard normal distribution table](#)
  - [Page 2 of the standard normal distribution table](#)
  
Using the table to find P-value for \( z = 2.47 \):

1. Locate 2.4 in the leftmost column of the table.
2. Locate 0.07 in the topmost row of the table.
3. The intersection gives the area to the left of \( z = 2.47 \). To find the P-value for a right-tailed test, subtract this area from 1.

Thus:
- P-value = \( 1 - \text{Area to the left of } z \)

### c. Decision Based on Significance Level

**Testing with \( \alpha = 0.10 \)**

- If the P-value is less than \( \alpha \), we reject the null hypothesis \( H_0 \).
- If the P-value is greater than \( \alpha \), we do not reject \( H_0 \).

**Conclusion for Part (c):**
- Compare the calculated P-value in part (b) with 0.10 and
Transcribed Image Text:# Hypothesis Testing In this section, we will review a sample problem related to hypothesis testing using the given test statistic. --- **Problem Statement** The test statistic of \( z = 2.47 \) is obtained when testing the claim that \( p > 0.1 \). **Questions:** **a.** Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. **b.** Find the P-value. **c.** Using a significance level of \( \alpha = 0.10 \), should we reject \( H_0 \) or should we fail to reject \( H_0 \)? --- **Step-by-Step Solution:** ### a. Type of Hypothesis Test **Determine the Type:** - Since the claim is \( p > 0.1 \), we are interested in whether the value is greater than 0.1. - This indicates a **right-tailed** test, as we are looking for values significantly larger than 0.1. **Answer for Part (a):** - This is a **right-tailed** test. ### b. Finding the P-value **Usage of the Standard Normal Distribution Table:** - Click the links below to access the standard normal distribution table: - [Page 1 of the standard normal distribution table](#) - [Page 2 of the standard normal distribution table](#) Using the table to find P-value for \( z = 2.47 \): 1. Locate 2.4 in the leftmost column of the table. 2. Locate 0.07 in the topmost row of the table. 3. The intersection gives the area to the left of \( z = 2.47 \). To find the P-value for a right-tailed test, subtract this area from 1. Thus: - P-value = \( 1 - \text{Area to the left of } z \) ### c. Decision Based on Significance Level **Testing with \( \alpha = 0.10 \)** - If the P-value is less than \( \alpha \), we reject the null hypothesis \( H_0 \). - If the P-value is greater than \( \alpha \), we do not reject \( H_0 \). **Conclusion for Part (c):** - Compare the calculated P-value in part (b) with 0.10 and
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