You are interested in investigating whether the type of computer a person primarily uses and the type ofcar they drive are dependent. The table below shows the results of a survey.Frequencies of Computer and CarTypesSedan SUV TruckTablet818052Notebook8310234Desktop 100 11628What can be concluded at the a = 0.10 significance level? b. What are the null and alternative hypotheses?Ho:The distribution of computer types is not the same for each car type.O Computer type and car type are independent.The distribution of computer types is the same for each car type.O Computer type and car type are dependent.H₁:The distribution of computer types is not the same for each car type.The distribution of computer types is the same for each car type.Computer type and car type are independent.O Computer type and car type are dependent.c. The test-statistic for this datad. The p-value for this sample==e. The p-value is Select an answerf. Based on this, we shouldO fail to reject the nullreject the nullaccept the null(Please show your answer to three decimal places.)(Please show your answer to four decimal places.)ag. Thus, the final conclusion is...O There is insufficient evidence to conclude that the distribution of computer types is not thesame for each car type.O There is insufficient evidence to conclude that computer type and car type are dependent.There is sufficient evidence to conclude that computer type and car type are independent.There is sufficient evidence to conclude that the distribution of computer types is not thesame for each car type.O There is sufficient evidence to conclude that computer type and car type are dependent.

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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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Health insurance benefits vary by the size of the company (the Henry J. Kaiser Family Foundation website, June 23, 2016). The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purposes of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100 to 999 employees, and large companies have 1000 or more employees. The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employees to indicate the size of the company. Health Insurance Size of Company Yes No Total Small 33 17 50 Medium 67 8 75 Large 89 11 100 Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the p-value? Compute the value of the x2 test statistic (to 2 decimals) A newspaper article indicated…
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The following statistics represent weekly salaries at a construction company. $660 First quartile $485 $560 Third quartile $635 $595 95th percentile $834 Mean Median Mode If the company has 100 employees, the total weekly salary of all employees is $ ew an example Get more help. O Search Clear all
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Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purpose of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100 to 999 employees, and largevcompanies have 1000 or more employees. The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company. Health Insurance Size of company Yes No Total Small. 35 15 50 Medium 67 8 75 Large 87 13 100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)
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Pain medications sometimes come with side effects. One side effect is dizziness. A researcher wanted to determine if some pain medications produced more or less dizziness than others. The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group who experienced dizziness are the same at the � = .01 level of significance. Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair. ��:The proportion of people within each treatment group who experienced dizziness are independent��: The proportion of people within each treatment group who experienced dizziness are dependent ��: The proportion of people within each treatment group who experienced dizziness are the same��: The proportion of people within each treatment group who experienced dizziness are different 2) Determine the…
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A study was conducted to examine the impact of speaking in public on college students. A class of 15 statistics students participated in the study. At the beginning of a lecture the students recorded their systolic blood pressure. During the lecture the instructor called on each student to stand and answer questions about topics in the lecture. After speaking the students once again recorded their blood pressure. The resulting values are given below along with summary statistics. before 107 123 128 125 136 108 130 113 105 136 146 138 108 149 132 after 141 142 146 136 144 111 132 114 103 133 140 130 100 133 113 difference -34 -19 -18 -11 -8 -3 -2 -1 2 3 6 8 8 16 19 before after difference mean 125.6 127.9 -2.267 st dev 14.53 15.45 14.03 Does this information indicate that blood pressure increased because of speaking? Conduct an appropriate hypothesis test and show appropriate steps. Let μ1 mean systolic blood pressure before speaking in public, and μ2 mean…
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