QUESTION 14 A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is 10%. If the inspector of the retailer randomly picks 14 items from a shipment, the probability that there will be at least one defective item among these 14 items is 0.5846 0.7712 0.4154 O0.2288

QUESTION 14 A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is 10%. If the inspector of the retailer randomly picks 14 items from a shipment, the probability that there will be at least one defective item among these 14 items is 0.5846 0.7712 0.4154 O0.2288

Name: QUESTION 14A large chain retailer purchases a certain kind of electro
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Description: QUESTION 14A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is10%. If the inspector of the retailer randomly picks 14 items from a shipment, th

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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12
A study of consumer smoking habits includes 200 people in the 18-22 age bracket (40 of whom smoke), 130 people in the 23-30 age bracket (31 of whom smoke), 100 people in the 31-40 age bracket (30 of whom smoke). If one person is randomly selected from this sample find the probability of getting someone who was isage 18 to 22 or smokes. A. 0.593 B.0.695 C.0.468 D.0.607
Officials at the suicide prevention center know that 5% of all people who phone their hotline actually attempt suicide. A psychologist has devised a quick and simple verbal test to help identify those callers who will actually attempt suicide. She found that 3.
1. In 1881, Simon Newcomb discovered that digits do not occur with equal frequency. After studying lots of data, he assigned probabilities for each of the first digits of numbers. This is known as Benford’s Law (because a physicist named Frank Benford proved it at a later date) and plays a major role in identifying tax fraud. Digit Probability1 0.3012 0.1763 0.1254 0.0975 0.0796 0.0677 0.0588 0.0519 0.046 A.) Verify that this is a probability model.B.) Use Benford’s Law to determine the probability that a randomly selected first digit is 1 or 2.C.) Use Benford’s Law to determine the probability that a randomly selected first digit is at least 6.2. Suppose that a single card is selected from a standard 52-card deck.A.) Compute the probability of the event E = “drawing a king.”B.) Compute the probability of the event E = “drawing a king” or F = “drawing a queen” or G = “drawing…
Suppose that the proportions of blood phenotypes in a particular population are as follows: A B АВ 0.42 0.14 0.02 0.42 Assuming that the phenotypes of two randomly selected individuals are independent of one another, what is the probability that both phenotypes are 0? (Enter your answer to four decimal places.) What is the probability that the phenotypes of two randomly selected individuals match? (Enter your answer to four decimal places.)
In certain industry facility accidents occur infrequently. It is known that the probability of an accident on any given day is .005 and accidents are independent of each other. a.What is the probability that any given period of 400 days there will be no accident on one day? b.What is the probability that there are at most three days with an accident? Answer in 4 decimal place.
Suppose a lung cancer test is 85% sensitive and 93% specific. That is, the test will produce 85% true positive results for those with lung cancer and 93% true negative results for those without lung cancer. Suppose that 3.2% of people actually have lung cancer. If a randomly selected individual tests positive, what is the probability he or she does not have cancer? YOUR ANSWER SHOULD BE BETWEEN O AND 100 AND ROUNDED To 4 DECIMAL PLACES. (e.g. 59.5321 would be 59.5321%)
TABLE 4.6 Sneakers are no longer just for the young. In fact, most adults own multiple pairs of sneakers. Table 4.6 gives the fraction of U.S. adults 20 years of age and older who own five or more pairs of wearable sneakers, along with the fraction of the U.S. adult population 20 years or older in each of five age groups. Use the Law of Total Prob- ability to determine the unconditional probability of an adult 20 years and older own- ing five or more pairs of wearable sneakers. 6 Probability Table Groups and Ages G3 35-49 Fraction with ≥ 5 Pairs .13 Fraction of U.S. Adults 20 and Older .30 G₁ 20-24 26 .09 G₂ 25-34 .20 .18 G4 50-64 18 .25 G5 ≥ 65 .14 .18 AI
Suppose the reliability of a bulb in a projector is 95%. If the bulb fails, the backup bulb can be used. The reliability of this bulb is only 80%. What is the probability that a projector will be useful given the main and the backup bulb? 100% 0.99 O 0.76 O 0.9580
According to estimates by the office of the Treasury Inspector General of IRS, approximately 0.0625 of the tax returns filed are fraudulent or will contain errors that are purposely made to cheat the IRS. In a random sample of 224 independent returns from this year, what is the probability that exactly 10 will be fraudulent or will contain errors that are purposely made to cheat the IRS? Question 13 options: 1) 0.0653 2) 0.1672 3) 0.8328 4) 0.0326 5) 0.9347
About 8% of the U.S. population catches the flue each season. Assuming everyine h?as equal probability of cathcing the flu, about what are the odds of catching the flu in any given season?
33% of a certain breed of rabbits are born with long hair. What is the probability that in a litter of 8 rabbits, exactly 1 will have long hair? (Give your answer correct to three decimal places.)