Since an instant replay system for tennis was introduced at a majc challenged 758 referee calls, and 219 of the calls were overturned Complete parts (a) through (c) below. Identify the P-value. P-value=0.772 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test?

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**Hypothesis Testing in Tennis Challenge Success Rates**

In a major tennis tournament, an instant replay system was introduced to review referee calls. Men made 1438 challenges, overturning 424 calls, while women made 756 challenges, overturning 219 calls. The goal is to determine if men and women have equal success rates in challenging calls using a significance level of 0.01.

**Statistical Analysis:**

**1. Identify the P-value:**

- **Calculated P-value:** 0.772
- **Interpretation:** Since the P-value (0.772) is greater than the significance level (0.01), we fail to reject the null hypothesis.

**2. Conclusion Based on Hypothesis Test:**

- **Decision:** There is not sufficient evidence to reject the claim that men and women have equal success in challenging calls. 

**3. Constructing a Confidence Interval:**

- **99% Confidence Interval for \((p_1 - p_2)\):** The text prompts to round this interval to three decimal places, but specific values are not provided in the image.

**Understanding the Outcome:**

Since the statistical test resulted in failing to reject the null hypothesis, this implies that there is no significant difference at the 1% level in the success rates of men and women in overturning referee decisions through challenges. 

This educational discussion highlights the importance of understanding P-values and confidence intervals in making data-driven conclusions about equality in challenge success rates based on gender in sports contexts.
Transcribed Image Text:**Hypothesis Testing in Tennis Challenge Success Rates** In a major tennis tournament, an instant replay system was introduced to review referee calls. Men made 1438 challenges, overturning 424 calls, while women made 756 challenges, overturning 219 calls. The goal is to determine if men and women have equal success rates in challenging calls using a significance level of 0.01. **Statistical Analysis:** **1. Identify the P-value:** - **Calculated P-value:** 0.772 - **Interpretation:** Since the P-value (0.772) is greater than the significance level (0.01), we fail to reject the null hypothesis. **2. Conclusion Based on Hypothesis Test:** - **Decision:** There is not sufficient evidence to reject the claim that men and women have equal success in challenging calls. **3. Constructing a Confidence Interval:** - **99% Confidence Interval for \((p_1 - p_2)\):** The text prompts to round this interval to three decimal places, but specific values are not provided in the image. **Understanding the Outcome:** Since the statistical test resulted in failing to reject the null hypothesis, this implies that there is no significant difference at the 1% level in the success rates of men and women in overturning referee decisions through challenges. This educational discussion highlights the importance of understanding P-values and confidence intervals in making data-driven conclusions about equality in challenge success rates based on gender in sports contexts.
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