### 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

See similar textbooks

Similar questions

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. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizès? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it P-value (two tailed): 0.000 Critical r: appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Determine the null and alternative hypotheses. Ho: P H₁: P ▼ (Type integers or decimals. Do not round.) y an example Get more help. Correlation Results Correlation coeff, r: 0.964493 +0.2680855 Clear all Check answer Inc
State Debt and Per Capita Tax Data for per capita state debt and per capita state tax for nine randomly selected states are shown. The correlation coefficient is r=0.405. Compute the standard error of the estimate rounded to at least two decimal places, if appropriate. Assume α=0.05. Per capita debt x 3377 1413 1608 1442 2705 2349 7554 2230 1446 Per capita tax y 2432 3094 2348 2147 2376 2387 2818 2324 1860 The standard error of the estimate should be calculated. S est= The standard error of the estimate should not be calculated.
Calculate the Pearson correlation coefficient between the following two sets of data: X = [3, 5, 4, 7, 6] Y = [1, 2, 3, 4, 5]
Please answer all sections
Use the Pearson r correlation table to answer questions about the relations between table variables (symbols: * p < .05, ** p < .01, *** p < .001). variable contacts demeanor preparation contacts 1 -0.139 -0.004 demeanor -0.139 1 0.886*** preparation -0.004 0.886*** 1
The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student receives in a semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (x1) is the number of parking tickets, and the second independent variable (x2) is the student's age. Coefficients Standard Error p-value t-Stat Intercept 9.846834 1.636494 6.017030 0.000533 Number of Parking Tickets -0.190967 0.037496 -5.093039 0.001410 Student's Age -0.324988 0.084657 - 3.838877 0.006384 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. 田 Tables E Keypad Answer How to enter your answer (opens in new window) Keyboard Shortcuts X +
I need help making a relative frequency histogram from this data.
Winning 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. TI-83/84 PLUS x* - Test x2 = 10.547534522 P = 0.0144418859 df = 3 Basketball Baseball Hockey Football Home team wins 142 59 75 72 Visiting team wins 65 55 38 33 V the null hypothesis that home/visitor wins are independent of the sport. It appears that the home-field advantage V depend on the sport.
Clinical tests of the allergy drug Seldane yielded the results summarized in the table below. At the 5%5% significance level, test to determine if there is a relationship between the use of the drug and the occurrence of headaches. Seldane Users Placebo Users Control Total Headache 42 56 60 158 No headache 760 682 635 2077 Total 802 738 695 2235 Perform a Chi-squared test in the following steps: Step 1: State the null and alternative hypotheses: H0:H0:There is between the use of the drug Seldane and the occurrence of headaches. H1:H1: There is between the use of the drug Seldane and the occurrence of headaches. Step 2: Find the critical value(s): State αα-value (in decimals) with the degree(s) of freedom, separated by a comma. State the critical value(s): CV= (Do not round the table value.) Step 3. State the rejection region: Which area(s) is/are rejection region(s)? Reject H0H0 if test statistic value the critical value(s).…
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…
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

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

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

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

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

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

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS