The accompanying table shows results of challenged referee calls in a major tennis tournament. Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned. Click the icon to view the table. HTTS Determine the null and alternative hypotheses. OA. Ho: The gender of the tennis player is independent of whether a call is overturned H₁: The gender of the tennis player is not independent of whether a call is overturned. OB. Ho: Male tennis players are more successful in overturning calls than female players. H₁: Male tennis players are not more successful in overturning calls than female players. OC. Ho Male tennis players are not more successful in overturning calls than female players H₁: Male tennis players are more successful in overturning calls than female players. OD. H.: The gender of the tennis player is not independent of whether a call is overturned. H₁ The gender of the tennis player is independent of whether a call is overturned. Determine the test statistic. More Info Men Women 4 Was the Challenge to the Call Successful? Yes 466 376 Print Done No 738 735

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Question 14

# Analysis of Challenged Referee Calls in a Major Tennis Tournament

## Introduction

This activity involves analyzing the results of challenged referee calls in a major tennis tournament to determine if the gender of the tennis player is independent of whether a call is overturned. We will use a 0.05 significance level for our test.

## Null and Alternative Hypotheses

To conduct this statistical test, we need to establish our null and alternative hypotheses:

- **Option A:**
  - \( H_0 \): The gender of the tennis player is independent of whether a call is overturned.
  - \( H_1 \): The gender of the tennis player is not independent of whether a call is overturned.

- **Option B:**
  - \( H_0 \): Male tennis players are more successful in overturning calls than female players.
  - \( H_1 \): Male tennis players are not more successful in overturning calls than female players.

- **Option C:**
  - \( H_0 \): Male tennis players are not more successful in overturning calls than female players.
  - \( H_1 \): Male tennis players are more successful in overturning calls than female players.

- **Option D:**
  - \( H_0 \): The gender of the tennis player is not independent of whether a call is overturned.
  - \( H_1 \): The gender of the tennis player is independent of whether a call is overturned.

## Data Table

The table provided gives details on the success of the challenges based on the player's gender:

| Gender | Was the Challenge to the Call Successful? | |  |
|--------|------------------------------------------|---|---|
|        | Yes                                      | No|   |
| Men    | 466                                      | 738|   |
| Women  | 376                                      | 735|   |

## Instructions

- Determine which option correctly states the null and alternative hypotheses relevant to the data and research question.
- Calculate the test statistic based on the data provided to understand the outcome of the hypothesis test.

This exercise is intended to help you understand the concept of hypothesis testing and the interpretation of results in the context of real-world data.
Transcribed Image Text:# Analysis of Challenged Referee Calls in a Major Tennis Tournament ## Introduction This activity involves analyzing the results of challenged referee calls in a major tennis tournament to determine if the gender of the tennis player is independent of whether a call is overturned. We will use a 0.05 significance level for our test. ## Null and Alternative Hypotheses To conduct this statistical test, we need to establish our null and alternative hypotheses: - **Option A:** - \( H_0 \): The gender of the tennis player is independent of whether a call is overturned. - \( H_1 \): The gender of the tennis player is not independent of whether a call is overturned. - **Option B:** - \( H_0 \): Male tennis players are more successful in overturning calls than female players. - \( H_1 \): Male tennis players are not more successful in overturning calls than female players. - **Option C:** - \( H_0 \): Male tennis players are not more successful in overturning calls than female players. - \( H_1 \): Male tennis players are more successful in overturning calls than female players. - **Option D:** - \( H_0 \): The gender of the tennis player is not independent of whether a call is overturned. - \( H_1 \): The gender of the tennis player is independent of whether a call is overturned. ## Data Table The table provided gives details on the success of the challenges based on the player's gender: | Gender | Was the Challenge to the Call Successful? | | | |--------|------------------------------------------|---|---| | | Yes | No| | | Men | 466 | 738| | | Women | 376 | 735| | ## Instructions - Determine which option correctly states the null and alternative hypotheses relevant to the data and research question. - Calculate the test statistic based on the data provided to understand the outcome of the hypothesis test. This exercise is intended to help you understand the concept of hypothesis testing and the interpretation of results in the context of real-world data.
The accompanying table shows results of challenged referee calls in a major tennis tournament. Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned.

Click the icon to view the table.

---

Determine the test statistic:

\( \chi^2 = \) [Round to three decimal places as needed.]

Determine the P-value of the test statistic:

P-value = [Round to four decimal places as needed.]

Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned. Choose the correct answer below:

- A. There is sufficient evidence to warrant rejection of the claim that male tennis players are more successful in overturning calls than female tennis players.
  
- B. There is not sufficient evidence to warrant rejection of the claim that the gender of the tennis player is independent of whether a call is overturned.
  
- C. There is not sufficient evidence to warrant rejection of the claim that male tennis players are more successful in overturning calls than female tennis players.
  
- D. There is sufficient evidence to warrant rejection of the claim that the gender of the tennis player is independent of whether a call is overturned.
Transcribed Image Text:The accompanying table shows results of challenged referee calls in a major tennis tournament. Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned. Click the icon to view the table. --- Determine the test statistic: \( \chi^2 = \) [Round to three decimal places as needed.] Determine the P-value of the test statistic: P-value = [Round to four decimal places as needed.] Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned. Choose the correct answer below: - A. There is sufficient evidence to warrant rejection of the claim that male tennis players are more successful in overturning calls than female tennis players. - B. There is not sufficient evidence to warrant rejection of the claim that the gender of the tennis player is independent of whether a call is overturned. - C. There is not sufficient evidence to warrant rejection of the claim that male tennis players are more successful in overturning calls than female tennis players. - D. There is sufficient evidence to warrant rejection of the claim that the gender of the tennis player is independent of whether a call is overturned.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 17 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman