B. A college graduate believes he has 60% chance of getting a particular job.Historically, 75% of the candidates who got a similar job had two interviews; 45% ofunsuccessful candidates had two interviews. Apply Bayes' Rule to calculate thePage 3 of 10probability that this candidate will be hired, assuming he had two interviews.

Answered: Image /qna-images/answer/19e44cf1-6e7c-430b-b2e9-dd37925c4167.jpg

Answered: B. A college graduate believes he has…

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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Similar questions

15%0f cellphone users use their cell phones to access internet. In arandom sample of 10 cellphone users, what is probability that exactly 2 have used their phones to access internet?
Suppose 33.3% of high school students eat pizza and 42% drink soda. If 17.3% of high school students eat pizza and drink soda, what is the probability that a randomly chosen high student will either eat pizza, drink soda, or both?
Staff, Inc., a management consulting company, is surveying the personnel of Acme Ltd. It determined that 35% of the analysts have an MBA and that 40% of all analysts are over age 35. Further, of those who have an MBA, 30% are over age 35.a. What is the probability that a randomly chosen analyst both has an MBA and also is over age 35?b. What is the probability that a randomly chosen analyst who is over age 35 has an MBA?c. What is the probability that a randomly chosen analyst has an MBA or is over age 35? d. What is the probability that a randomly chosen analyst who is over age 35 does not have an MBA? e. Are the events MBA and over age 35 independent? f. Are the events MBA and over age 35 mutually exclusive? g. Are the events MBA and over age 35 collectively exhaustive?
On average, 21 out of every 100 emails exchanged are spam emails. Filters on email services attempt to flag spam emails as they are received. One such filter has a 73% chance of flagging an email if it is actually spam and a 27% chance of flagging an email that is not spam. a. What is the probability that an incoming email is spam and flagged? b. What is the probability that the next incoming email will be flagged? c. All emails that are not flagged are sent to the user’s inbox. If an email reaches a user’s inbox, what is the probability that it is a spam email?
On most social media platforms, 64% of all ads are targeted ads. Ad-blockers attempt to block such targeted ads before they are delivered to the user. One such ad-blocker has a 42% chance of blocking an ad if it is actually targeted, and a 19% chance of blocking an ad that is not targeted. a. If an ad is blocked by the ad-blocker, what is the probability that it was not a targeted ad? b. If the user is served an ad which was not blocked, what is the probability that it was targeted?
67.9% of all patients admitted to the intensive care unit (ICU) have a fever, 35.6% have some sort of infection, and 17.2 % have both problems. find the probability that a randomly chosen patient in this ICU had with a fever , given that they have an infection
A study is conducted to assess the impact of caffeine consumption, smoking, alcohol consumption, and physical activity on cardiovascular disease. Suppose that 40% of participants consume caffeine and smoke. If eight participants are evaluated, what is the probability that: At most, six participants consume caffeine and smoke?
A company requires all job applicants to undergo drug testing for employment. If the applicant has used drugs the test has a 90% chance of a positive result. If the applicant has not used drugs the test has an 85% chance of a negative result. 4% of all applicants have used drugs. If an applicant has a positive test, what is the probability he or she has actually used drugs?
A Fast Food restaurant gives a discount to anyone who finishes their food in under 5 minutes. 44% of the restaurant' s customers choose to eat a Burger, 28% choose a bowl of Pasta, and the rest choose a Salad dish. In the last month, 18% of Burger-eating customers, 11% of Pasta-eating customers, and 20% of Salad-eating customers achieved the discount. a. What is the probability of a customer choosing to eat Salad and achieving the discount? Answer in exact fraction, or rounded to at least 4 decimal places b. Determine the probability of a randomly chosen customer achieving the discount. Answer in exact fraction, or rounded to at least 4 decimal places
22% of household are turned to the television show NBC Sunday Night Football. An advertiser wants to obtain a second opinion by conducting its own survey, and a pilot survey begins with 30 households having TV sets in use at the time of that same NBC Sunday Night Football broadcast. Find the probability that none of the household are tuned to NBC Sunday Night Football.Find the probability that less than two household are turned to NBC Sunday Night Football. Find the probability that at least three households are tuned to NBC Sunday Night Football.Find the probability that more than 20 households are tuned to NBC Sunday Night Football.Find the probability that no more than 4 households are turned to NBC Sunday Night Football.

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