Would you say you eat to live or live to eat? was asked to each person in a sample of 1001 adults in a Gallup Poll. Adults responded "eat to live," "live toeat," or "had no opinion." Suppose that 20% answered "live to eat."Assuming this percentages to be accurate, find the probability, in 10 randomly chosen adults, that no more than 8 would answer "live to eat"?1 DointFTabla

Let X represent the number of person respond to eat to live.The probability of person respond to eat…

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A study of consumers smoking habits include 160 people in the 18-22 age bracket (49 of whom smoke), 133 people in the 23-30 age bracket (37 of whom smoke), and 85 people in the 31-40 age bracket (21 whom smoke). If one person is randomly selected from this sample, find the probability of getting someone who is age 18-22 or does not smoke.
An observational study is described. Identify the specified element.At St. Luke's hospital in 1998, 674 women were diagnosed with breast cancer. Five years later, 88% of the Caucasian women and 83% of the African American women were still alive. Determine the nature and scope of the conclusion the study can reach. Choose the best answer below: A. Since there is no random assignment, there is no way to know that being Caucasian causes women with breast cancer an increased chance of surviving five years; there may have been confounding variables. B. For women with breast cancer, being Caucasian causes an increased chance of surviving five years. C. Since there is no random assignment, there is no way to know that being Caucasian causes women with breast cancer an increased chance of surviving five years; there may have been lurking variables. D. For Caucasian and African American women with breast cancer, attending St. Luke's hospital causes an increased chance of surviving five…
The class I'm taking is statistics! I am completely stuck. Need help. I have attached the problem. Please view attachment before answering. Thank you!
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Not Indicated Drug Use Is Indicated Subject Uses Drugs 37 4. Subject Is Not a Drug User 17 35 The probability of a false positive test result is
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 42 11 Subject Is Not a Drug User 17 34
In a survey of consumers aged 12 and older, respondents were asked how many cell phones were in use by the household. (No two respondents were from the same household.) Among the respondents, 211answered "none,"289 said "one," 373 said "two," 143 said "three," and 138 responded with four or more. A survey respondent is selected at random. Find the probability that his/her household has four or more cell phones in use. Is it unlikely for a household to have four or more cell phones in use? Consider an event to be unlikely if its probability is less than or equal to 0.05.
Participants in an experiment are asked to flip a fair coin and report the outcome. If they report H, they receive $10. If they report T, they receive $O. The experimenter observes that 70% of 1000 reports are H. How does this experiment provide evidence against or in favour of lying aversion? Please answer in at most three sentences.
A. You want to study gender gaps in pay in Fortune 500 companies. a. What would be your sampling frame? b. How many companies would you study? What would be the probability that a company would be included in your study? You want to be sure that you include at least 30 retail companies and 30 information companies in order to test whether the gender gap in pay differs between them: how could you do this and still retain a probability sample? d. If your sample included only 30 retail and 30 information companies selected in the way you specified in (c): i. ii. C. Could you generalize to all Fortune 500 companies? Briefly explain. Could you generalize to all retail and information companies on the Fortune 500 list? Briefly explain.
The National Longitudinal Study of Adolescent Health interviewed several thousand teens (grades 7 to 12). One question asked was "What do you think are the chances you will be married in the next 10 years?" Here is a two-way table of the responses by gender: HP S Ass Opinion Female Male cha Almost no chance 119 114 139 156 Some chance but probably not A 50-50 chance 446 493 A good chance Almost certain 718 728 1177 759 a. How many individuals are described in this table? b. How many females were among the respondents? C. The percent of females among the respondents was about

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