Use a x2 test.4) Use the sample data below to test the claim that in the given contingency table, car color effects and being in anaccident are independent. Use a significance level of 0.01. Use the critical value method.Red Blue WhiteCar has been inaccidentCar has not been28 3336in accident 23 22 30(a) Set up the null hypothesis and alternative hypothesis and indicate the claim(b) Calculate the test statistic. Be sure to set up the equation. Round to three decimal places(c) Find the critical value(s). Draw a sketch of the distribution curve.(d) Make a decision about the null hypothesis. Be sure to explain how you make the decision.(e) Wrrite a complete a conclusion about the original claim.

Given that: Red Blue White Car has been in accident 28 33 36 Car has not been in accident…

Answered: Use a x² test. 4) Use the sample data…

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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Use the 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? Click the icon to view the data table and technology display. What are the null and alternative hypotheses? O A. Ho: Head injury measurements are affected by an interaction between type of car and size of B. Ho: Head injury measurements are not affected by an interaction between type of car and size of the car. H₁: Head injury measurements are affected by an interaction between type of car and size of the car. the car. H₁: Head injury measurements are not affected by an interaction between type of car and size…
Use the 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 0.10 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? Click the icon to view the data table and technology display. What are the null and alternative hypotheses? O A. Ho: Head injury measurements are not affected by an interaction between type of car and size of the car. H₁: Head injury measurements are affected by an interaction between type of car and size of the car. O C. Ho: Head injury measurements are not affected by type of car. H₁: Head injury measurements are affected by type of car. Find the test statistic. F = (Round to two decimal places as needed.)…
Assume that you plan to use a significance level of a= 0.05 to test the claim that p1 = p2 . Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test. n1 = 50 x1 = 8 n2 = 50 x2 = 7
Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A company claims that its packages of 100 candies are distributed with the following color percentages: 15% red, 21% orange, 12% yellow, 14% brown, 24% blue, and 14% green. Use the given sample data to test the claim that the color distribution is as claimed. Use a 0.025 significance level. E Click the icon to view the color counts for the candy in the package. Click here to view the chi-square distribution table. The test statistic is (Round to two decimal places as needed.) The critical value is (Round to three decimal places as needed.) State the conclusion. Ho. There sufficient evidence to warrant rejection of the claim that the color distribution is as claimed. Candy Package Counts Candy Counts Number in Package Color Red 14 Orange 23 Yellow 10 Brown 7 Blue 27 Green 19 Enter vOur C newer in ooe
The critical value in a hypothesis test Multiple Choice depends on the value of the test statistic. is calculated from the sample data. separates the acceptance and rejection regions. usually is .05 or .01 in most statistical tests.
What is the null and alternative hypothesis for the following problem? Thank you
Winning team data were collected for teams in different sports, with the results given in the accompanying table. Use a 0.05 significance level to test the claim that home/visitor wins are independent of the sport. Given that among the four sports included here, baseball is the only sport in which the home team can modify field dimensions to favor its own players, does it appear that baseball teams are effective in using this advantage? Click the icon to view the data table. Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: Basketball games are more likely to win at home than any other sport. H₁: Basketball games are not more likely to win at home than any other sport. OB. Ho: Basketball games are not more likely to win at home than any other sport. H₁: Basketball games are more likely to win at home than any other sport. OC. Ho: The home/visitor win is independent of the sport. H₁: The home/visitor win is not independent of the sport. O D. Ho: The…
Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups created in Part F. Use a 0.05 level of significance in your testing procedures. Hint: When calculating your pooled sample variance and your test statistic, assume the Top 10 data is sample 1 and the Bottom 10 data is sample 2. Decision Rule -t < or t > = REJECT H0 Value of Pooled Sample Variances Value of test statistic Decision: enter Reject or Do Not Reject Is there a difference in the mean attendance between the two groups assuming a 0.05 level of significance? Enter Yes or No. Another variable that can impact attendance is the team's win-loss record. Teams that are winning more games are thought to have increased attendance as fans prefer to see their home team "win" rather than "lose" (although for some teams such as the Chicago Cubs, this is not always an established relationship!). Create 2 samples…
It is claimed that greater than 30% of the students at Uwindsor are females. We want to test this claim at 7% significance level. The test statistic of this test is 1.89. Your decision is O Reject H1 Reject Ho O not enough data to make decision O Do not reject Ho
Use a 0.05 significance level to test the claim that males and females have the same mean BMI Male BMI n=80 * = 26.3 s = 5.4 Female BMI n=61 I = 28.4 s = 7.4
Determine the appropriate test to use from the four choices in photo then test the hypothesis under 5% significance level.
I chose option 1. I believe that the population mean number of times that adults eat fruit with their breakfast is greater than 3 times. I spoke with 14 adults and found that they had fruit with breakfast 7,2,3,0,0,0,4,7,7,7,4,4,5,and 0 times in the past week. Test this hypothesis at the .05 significance level and assume a random sample.

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