The table provides data on the age distribution of customers at three fast-food chains: Burger King, McDonald's, and Wendy's. The data is categorized by age groups: 18-34, 35-49, 50-64, and 65+.**Table Data:**- **Burger King:** - Age 18-34: 127 - Age 35-49: 119 - Age 50-64: 63 - Age 65+: 163- **McDonald's:** - Age 18-34: 75 - Age 35-49: 142 - Age 50-64: 82 - Age 65+: 129- **Wendy's:** - Age 18-34: 124 - Age 35-49: 156 - Age 50-64: 75 - Age 65+: 132**Analysis:**- Burger King has the highest number of customers in the 65+ age category.- McDonald's has a strong customer base in the 35-49 age group.- Wendy's is most popular among the 35-49 age group, with the highest value in this category. The data may reflect trends in dining preferences among different age groups for each restaurant chain. **Testing for Independence**The contingency table shows the results of a random sample of adults with respect to their ages and favorite fast food restaurant. At the significance level, α = 0.01, test the claim that at least two of the variables are dependent.Use the Independence #1 calculator to test the hypothesis. Fill in the contingency table for row and columns based on the results. Also fill in the space for the level of significance α.- \( H_0 \): The variables are independent- \( H_a \): At least two of the variables are dependent (claim)a.) Find the degrees of freedom, the critical value and identify the rejection region.b.) Find the chi-square test statistic.c.) Is the test statistic in the rejection region? How do you know?d.) Do we reject or fail to reject the null hypothesis?e.) Is there enough evidence to support the claim that at least two of the variables are dependent? Give a full conclusion statement including the level of significance.

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Answered: The contingency table shows the results…

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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If alpha= 0.05 and the p-value = 0.01, what decision do you make? O Fail to Reject Ho O Reject Ho O Reject Ha Fail to Reject Ha app.honorlock.com is sharing your screen. Stop sha
One study claimed that 88 % of college students identify themselves as procrastinators. A professor believes that the claim regarding college students is too high. The professor conducts a simple random sample of 272 college students and finds that 231 of them identify themselves as procrastinators. Does this evidence support the professor's claim that fewer than 88 % of college students are procrastinators? Use a 0.02 level of significance. Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places.
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 42 of the 47 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 89 of the 102 subjects developed rhinovirus infections. Use a 0.01 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through (c) below.
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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 the car. H₁: Head injury measurements are not 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. xample Get more help. Data table Foreign Domestic Small 294 534 509 411…
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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…
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Need the test statistic and p value pls help Thankyou.
Please indicate the dependent and independent variables in the following hypotheses. People with higher education are more prone to read books than people with less education. Independent variable: Dependent variable:

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