Since an instant replay system for tennis was introduced at a major tournament, men challenged 1424 referee calls, with the result that 425 of the calls were overturned. Women challenged 753 referee calls, and 221 of the calls were overturned. Use a 0.05 significance level to test the claim that men and women have equal success The 95% confidence interval is< (P, - P2)

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How can I find the 95% confidence interval and test statistics using excel or statcrunch. Thank You

### Hypothesis Testing for Equality of Proportions

In a study of the success rate of challenging referee calls, it's observed that men challenged a total of 1940 calls, with the result that 42% of these calls were overturned. On the other hand, women challenged 763 referee calls, out of which 221 calls were overturned. This statistical analysis aims to test the claim at a 0.05 significance level that men and women have equal success in challenging calls.

**Key components of the analysis include:**

1. **Sample Sizes and Successes:**
   - Men: 1940 calls challenged, 42% success rate.
   - Women: 763 calls challenged, 221 calls overturned.

2. **Testing the Claim:**
   - Null Hypothesis (\(H_0\)): Men and women have equal success rates in challenging calls.
   - Alternative Hypothesis (\(H_1\)): Men and women have different success rates in challenging calls.

3. **Confidence Interval Calculation:**
   - A 95% confidence interval is constructed for the difference in proportions (\(p_1 - p_2\)) where \(p_1\) and \(p_2\) are the success rates for men and women, respectively.
   - The confidence interval is represented as: 
     \[
     \boxed{} \,<\, (p_1 - p_2) \,<\, \boxed{}
     \]
   - (Values to be rounded to three decimal places as needed.)

4. **Conclusion:**
   - Based on whether the confidence interval contains zero, a conclusion will be drawn regarding the equality of success rates between men and women.

This statistical approach helps in understanding whether there is a statistically significant difference in the success rates of men and women when they challenge referee calls.
Transcribed Image Text:### Hypothesis Testing for Equality of Proportions In a study of the success rate of challenging referee calls, it's observed that men challenged a total of 1940 calls, with the result that 42% of these calls were overturned. On the other hand, women challenged 763 referee calls, out of which 221 calls were overturned. This statistical analysis aims to test the claim at a 0.05 significance level that men and women have equal success in challenging calls. **Key components of the analysis include:** 1. **Sample Sizes and Successes:** - Men: 1940 calls challenged, 42% success rate. - Women: 763 calls challenged, 221 calls overturned. 2. **Testing the Claim:** - Null Hypothesis (\(H_0\)): Men and women have equal success rates in challenging calls. - Alternative Hypothesis (\(H_1\)): Men and women have different success rates in challenging calls. 3. **Confidence Interval Calculation:** - A 95% confidence interval is constructed for the difference in proportions (\(p_1 - p_2\)) where \(p_1\) and \(p_2\) are the success rates for men and women, respectively. - The confidence interval is represented as: \[ \boxed{} \,<\, (p_1 - p_2) \,<\, \boxed{} \] - (Values to be rounded to three decimal places as needed.) 4. **Conclusion:** - Based on whether the confidence interval contains zero, a conclusion will be drawn regarding the equality of success rates between men and women. This statistical approach helps in understanding whether there is a statistically significant difference in the success rates of men and women when they challenge referee calls.
### Statistical Analysis of Tennis Referee Challenges by Gender

**Objective:**
To analyze the effectiveness of challenges made by men and women at a major tennis tournament using an instant replay system. The goal is to test the claim that men and women have equal success in challenging referee calls.

**Data Summary:**
- **Men's Challenges:**
  - Total challenges: 1424
  - Overturned calls: 425

- **Women's Challenges:**
  - Total challenges: 753
  - Overturned calls: 221 

**Statistical Analysis:**
Given the above data, we will use a 0.05 significance level to test the hypothesis that men and women have equal success rates when challenging referee calls.

To do this, we calculate the 95% confidence interval for the difference in proportions of successful challenges between men and women.

**Confidence Interval:**
\[ \text{The 95% confidence interval is } [ \, \_\_ \, < (p_1 - p_2) < \, \_\_ \, ] \]
(Round to three decimal places as needed.)

**Explanation:**
- \( p_1 \): Proportion of successful challenges by men.
- \( p_2 \): Proportion of successful challenges by women.
- The interval will give us a range of values within which the true difference between men’s and women’s success rates is expected to lie, with 95% confidence.

**Next Steps:**
1. Calculate the sample proportions of overturned calls for both men ( \( \frac{425}{1424} \) ) and women ( \( \frac{221}{753} \) ).
2. Use these sample proportions to compute the standard error of the difference in proportions.
3. Determine the critical value for a 95% confidence level.
4. Calculate the confidence interval.

This analysis will help us understand if there is a statistically significant difference in the success rates of men and women when challenging referee calls using the instant replay system in tennis.
Transcribed Image Text:### Statistical Analysis of Tennis Referee Challenges by Gender **Objective:** To analyze the effectiveness of challenges made by men and women at a major tennis tournament using an instant replay system. The goal is to test the claim that men and women have equal success in challenging referee calls. **Data Summary:** - **Men's Challenges:** - Total challenges: 1424 - Overturned calls: 425 - **Women's Challenges:** - Total challenges: 753 - Overturned calls: 221 **Statistical Analysis:** Given the above data, we will use a 0.05 significance level to test the hypothesis that men and women have equal success rates when challenging referee calls. To do this, we calculate the 95% confidence interval for the difference in proportions of successful challenges between men and women. **Confidence Interval:** \[ \text{The 95% confidence interval is } [ \, \_\_ \, < (p_1 - p_2) < \, \_\_ \, ] \] (Round to three decimal places as needed.) **Explanation:** - \( p_1 \): Proportion of successful challenges by men. - \( p_2 \): Proportion of successful challenges by women. - The interval will give us a range of values within which the true difference between men’s and women’s success rates is expected to lie, with 95% confidence. **Next Steps:** 1. Calculate the sample proportions of overturned calls for both men ( \( \frac{425}{1424} \) ) and women ( \( \frac{221}{753} \) ). 2. Use these sample proportions to compute the standard error of the difference in proportions. 3. Determine the critical value for a 95% confidence level. 4. Calculate the confidence interval. This analysis will help us understand if there is a statistically significant difference in the success rates of men and women when challenging referee calls using the instant replay system in tennis.
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