### Analysis of Home vs. Visitor Wins Across Different SportsWinning team data were collected for teams in different sports, with the results given in the table below. Use the TI-83/84 Plus results at a 0.05 level of significance to test the claim that home/visitor wins are independent of the sport.#### Data Table: | Wins | Basketball | Baseball | Hockey | Football ||-------------------|------------|----------|--------|----------|| Home team wins | 141 | 82 | 78 | 47 || Visiting team wins| 61 | 39 | 38 | 46 |#### TI-83/84 Plus Results: - χ² - Test- χ² = 11.283947924- P = 0.0102854951- df = 3#### Conclusion Options:Using the data and χ² test results, select the appropriate conclusion from the options provided.- **Conclusion:** - [ ] Reject - [ ] Fail to reject the null hypothesis that home/visitor wins are independent of the sport. It appears that the home-field advantage [ ] depend on the sport.Here, examining the p-value from the χ² test, which is 0.0102854951, and comparing it to the significance level of 0.05, we can make a conclusion about the hypothesis.#### Explanation of Graph/Chart:The table provides the number of wins for home teams and visiting teams across four different sports: Basketball, Baseball, Hockey, and Football. The number of wins are listed under the corresponding sports, showing a comparison between home and visitor wins. The results computed using the TI-83/84 Plus calculator present:- A χ² value of 11.283947924- A p-value of 0.0102854951- Degrees of freedom being 3These statistical values are used to determine whether the difference in wins is statistically significant across different sports or if they occur by random chance. The low p-value indicates that there is a significant relationship between the sport and the likelihood of home or visitor wins, leading us to reject the null hypothesis. This implies that the home-field advantage does depend on the sport.

Given Information: Significance level α=0.05 Claim: Home/visitor wins are independent of the sport.…

Answered: TI-83/84 PLUS Winning team data were…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Use a significance level of x = 0.05 to answer the following questions. Correlation Results Correlation coeff, r: Critical r: P-value (two tailed): 0.000 Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There are two critical values at r= ± OB. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weigh of bears and their chest sizes? Choose the correct below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) exceeds the critical value. A. No, because the absolute value of r= OB. Yes, because the absolute value of r= OC. No, because r= exceeds the positive critical value. falls…

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