Home - » StudentsB. 8-1 Final Exam - MAT-133-X35 X8-1 Final Exam8-3 Homework: Chapter 8 (Se X +https://newconnect.mheducation.com/flow/connect.html110% )SavedHelpSave & ExitThe contingency table below shows the results of a survey of video viewing habits by age.Video Viewing Platform PreferredViewer Age18-3435-5455+Mobile/Laptop Device31IV ScreenRow Total641818100336.9.466.1254Column TotaláliliimFind the following probabilities or percentages:(a) Probability that a viewer is aged 18-34. (Round your answer to 2 decimal places.)Probability(b) Probability that a viewer prefers watching videos on a TV screen. (Round your answer to 2 decimal places.)Probability(c) Percentage of viewers who are 18-34 and prefer videos on a mobile on laptop device.Percentage of viewers(d) Percentage of viewers given they are 18-34 who prefer videos on a mobile or laptop device. (Round your answer to 2 decimalplaces.)14 of 19Next >Prey

(a) The probability that a viewer is aged 18-34 is 0.64 and it is obtained below: From the given…

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 27PFA

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if a study determines the difference in average salary for subpopulations of people with blue eyes and people with brown eyes is not significant then the populations are blue-eyed people and brown-eyed people are what different salaries
Sociologists argued that women on average earn less than men as women often choose to work less hours. They further suggest that the choice of hours worked may be driven by various factors such as age, childcare needs, occupation choice and flexibility. To investigate the relation between hours worked and income earned by Australian men and women, a researcher plans to survey a sample of individuals across the country. First, the researcher categorised the data into six location groups and six occupation groups, and calculated the frequencies given below. Frequency tables Location Occupation Location category Frequency Occupation category Frequency Location group A 5 Occupation group 1 4 Location group B 7 Occupation group 2 26 Location group C 12 Occupation group 3 15 Location group D 25 Occupation group 4 12 Location group E 10…
The death rate per 100,000 for lung cancer is 7 among non-smokers and 71 among smokers. The death rate per 100,000 for coronary thrombosis is 422 among non-smokers and 599 among smokers. The prevalence of smoking in the population is 55%. The relative risk of dying for a smoker compared to a non-smoker is: [Refer to the chapter titled “Study Designs: Cohort Studies”] A. 9.1 for lung cancer and 0.30 for coronary thrombosis. B. 10.1 for lung cancer and 1.4 for coronary thrombosis. C. 10.1 for lung cancer and 8.4 for coronary thrombosis. D. 9.1 for lung cancer and 1.4 for coronary thrombosis. E. 12.4 for lung cancer and 1.7 for coronary thrombosis.
If a study determines the difference in average salary for sub populations of people with blue eyes and people with brown eyes is not significant, then the populations of blue eyed people and brown eyed people are?
Suppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of US workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 102 full-time workers in the United States and ask about personal calls, emails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean travel time to work from the most recent census is 24.1 minutes, with a standard deviation of 4.5 minutes. Your sample of 102 US workers…
Suppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of US workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 83 full-time workers in the United States and ask about personal calls, emails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean time spent at work per day from the most recent census is 8.32 hours, with a standard deviation of 0.91 hours. Your sample of 83 US workers…
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If a study determines the difference in average salary for sub populations of people with blue eyes and people with brown eyes is not significant, then the population of blue eyed and brown eyed people are " blank " different salaries.
Do poorer people tend to have shorter lives than richer people? Two researchers ranked all counties in the United States by their poverty level and then divided them into 2020 groups, each representing approximately 5%5% of the overall U.S. population. The bottom 5%5% were the least impoverished (wealthiest) and top 5%5% (the 100th100th percentile) the most impoverished. Life expectancies at birth for each of the 2020 groups were calculated based on life tables. The table contains the data for poverty percentiles (with higher percentiles corresponding to greater poverty) and life expectancies at birth (in years) in 2010 for males in the 20 groups.20 groups. Percentile rank Life expectancy of males 55 7979 1010 7979 1515 7878 2020 77.577.5 2525 77.577.5 3030 77.577.5 3535 7777 4040 76.576.5 4545 7777 5050 7777 5555 76.576.5 6060 7676 6565 7676 7070 7777 7575 76.576.5 8080 7575 8585…
Suppose you are conducting a study about how the average U.S. worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, e-mails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of U.S. workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 82 full-time workers in the United States and ask about personal calls, e-mails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean break time per day from the most recent census is 29.6 minutes, with a standard deviation of 16.0 minutes. Your sample of 82 U.S. workers…
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