The Harvard School of Public Healthcompleted a study on alcohol consumption on college campuses in 2001. They concluded that 20.7% of women attending all-women colleges abstained from alcohol, compared to 18.6% of women attending coeducational colleges. Approximately 4.7%of women college students attend all-women schools. Source:Harvard School of Public Health.a. What is the probability that a randomly selected femalestudent abstains from alcohol?b. If a randomly selected female student abstains fromalcohol, what is the probability she attends a coeducationalcollege?

The Harvard School of Public Healthcompleted a study on alcohol consumption on college campuses in 2001. They concluded that 20.7% of women attending all-women colleges abstained from alcohol, compared to 18.6% of women attending coeducational colleges. Approximately 4.7%of women college students attend all-women schools. Source:Harvard School of Public Health.a. What is the probability that a randomly selected femalestudent abstains from alcohol?b. If a randomly selected female student abstains fromalcohol, what is the probability she attends a coeducationalcollege?

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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The WKU Herald reported that many students are unhappy with the cancellation of Spring Break. A sample of of 66 WKU students' opinion on the cancellation of Spring Break was collected. If 12% of all young people feel that WKU should have cancelled Spring Break, what is the probability that the proportion of those in the sample who feel that WKU should have cancelled Spring Break will be less than.1768? O a. 9222 O b. .4222 C. .0568 O d. .0778
According to CTIA, 41% of all U.S. households are wireless-only households (no landline). Choose four households at random. A. What is the probability that at least two will be wireless-only? B. What is the probability that none of them will be wireless-only? C. What is the probability that least 1 of them will be wireless-only? D. Find the mean and standard deviation for the number of households that are wireless-only.
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e) Which drink was the most preferred and what is the probability of preferring that drink? 2. Consider the following return rates for items purchased: Retail return rates Shoppers return items bought online at a far higher rate Online purchases Return rates by category (both online and in-store) About 30% Auto parts 21% Housewares 12.3% Apparel 10.5% Footwear 9.6% Sporting goods 9.3% Beauty 5.2% Source: WSJ a) If Sally sells 27 pairs of shoes during the month, what is the probability Sally has exactly 4 pairs of shoes returned? b) What is the probability that Sally has less than4 pairs of those shoes returned? c) Tom works at Napa and sells auto parts. Tom sold 18 auto parts last week. What is the probability that Tom gets more than 4 of those parts returned? d) What is the probability that Tom between 2 and 5 of those parts returned?
About 8% of males are colorblind. A researcher needs colorblind subjects for an experiment and begins checking potential subjects. a. On average, how many men should the researcher expect to check before finding one who is colorblind? b. What's the probability that she won't find anyone who is colorblind among the first 4 men she asks? c. What's the probability that the first colorblind man found will be the 6" man checked? d. What's the probability that she finds someone who is colorblind before checking the 7th man?
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
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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
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: Opinion Female Male Almost no chance 120 104 Some chance but probably not 141 158 A 50-50 chance 454 499 A good chance 742 729 Almost certain 1168 764 What percent of females thought that they were almost certain to be married in the next 10 years?
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It is known the 60% of toddlers have too much screen time. A randome sample of 8 toddlers were examined. What is the probability that 4 have too much screen time? O a. 0.7678 O b. 0.2322 0.0573 O d. 0.30
a. What is the probability of seeing positive change? b. What is the probability of seeing positive change given that the tree is oak? c. Do the data suggest effect and tree type are independent events? yes or no