Use tha technology display, which results from the head injury measurements from car crash dummies listed below. The measurements are in hic (head injury criterion) units, and they are from the same cars used for the table below. Use a 0.01 significance level to test the given claim. Test the null hypothesis that head injury measurements are not affected by an interaction between the type of car (foreign, domestic) and size of the car (small, medium, large). What do you conclude? E Click the icon to view the data table and technology display What are the null and alternative hypotheses? O Data Table O A. Ho: Head injury measurements are not affected by an interaction between type of car and size of the O B. Ho: Head H: Head car H: Head injury measurements are affected by an interaction between type of car and size of the car car. O C. Ho: Head injury measurements are not affected by type of car. H: Head injury measurements are affected by type of car. O D. Ho: Head H: Head Size of Car Medium Large 250 Small Foreign 291 340 548 501 696 Find the test statistic. 507 396 333 Domestic 408 472 217 F= (Round to two decimal places as needed.) 374 368 331 370 345 168 Determine the Pavnlie Source Туре Size Interaction 2 41221 P-value = (Round to three dechnal places as needed.) DF MS 1 36360 36360. 1 2.42 0.146 Determine whether there is suliciont evidence to support the given alternative hypothesis. 2 14396 719 0.48 0.630 20610.7 1.37 0.290 Since the P-value is 0.01. V Ho. There is evidence to support the alternative hy Error 12 180113 15009.4 Total 17 272091 the type of car (foreign or stic) and whether the car is small, medium, or large. Click to select your answer(s). Print Done
Use tha technology display, which results from the head injury measurements from car crash dummies listed below. The measurements are in hic (head injury criterion) units, and they are from the same cars used for the table below. Use a 0.01 significance level to test the given claim. Test the null hypothesis that head injury measurements are not affected by an interaction between the type of car (foreign, domestic) and size of the car (small, medium, large). What do you conclude? E Click the icon to view the data table and technology display What are the null and alternative hypotheses? O Data Table O A. Ho: Head injury measurements are not affected by an interaction between type of car and size of the O B. Ho: Head H: Head car H: Head injury measurements are affected by an interaction between type of car and size of the car car. O C. Ho: Head injury measurements are not affected by type of car. H: Head injury measurements are affected by type of car. O D. Ho: Head H: Head Size of Car Medium Large 250 Small Foreign 291 340 548 501 696 Find the test statistic. 507 396 333 Domestic 408 472 217 F= (Round to two decimal places as needed.) 374 368 331 370 345 168 Determine the Pavnlie Source Туре Size Interaction 2 41221 P-value = (Round to three dechnal places as needed.) DF MS 1 36360 36360. 1 2.42 0.146 Determine whether there is suliciont evidence to support the given alternative hypothesis. 2 14396 719 0.48 0.630 20610.7 1.37 0.290 Since the P-value is 0.01. V Ho. There is evidence to support the alternative hy Error 12 180113 15009.4 Total 17 272091 the type of car (foreign or stic) and whether the car is small, medium, or large. Click to select your answer(s). Print Done
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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