QUESTION 6 Suppose you're hiring a new worker for your business You'd like someone reliable Suppose you use administer a test to job seekers many other employers use to determine if applicants have this trait The test is 90 senstitive and 95 specific If 60 unreliable people apply and 20 reliable people apply, how many positive results will you have 10 points QUESTION 7 Just like the last question, suppose you're hiring a new worker for your business You'd like someone reliable Suppose you use administer a test to job seekers many other employers use to determine if applicants have this trait The test is 90 senstitive and 95 specific If 60 unreliable people apply and 20 reliable people apply, how many negative results will you have 10 points QUESTION 8 As Bayes' Theorem illustrates, when you're testing for a rare event (e g a rare disease), it's unlikely that a positive result will translate into a high likelihood that the event happened This is true even for tests which seem very accurate This counter intuitive result only works for rare events why Because itresults ina lot of false negatives Because it results in a lot of false positives Because it causes specificity to fall Because it causes sensitivity to fall 10 points QUESTION 9 Let's use the same numbers from the previous question again 99 sensitive and 95 specific with 2 of employees on drugs What the probability that an employee doesn't use drugs assuming the test came back negative Express your answer as a probability from 0 to 1 to the 4th decimal place Include a zero before the decimal point 20 points QUESTION 10 Suppose you're testing your employees for drug use You decide to run a test which is 99 sensitive and 95 specific If 2 of employees use drugs, what the probability that an employee uses drugs assuming the test came back positive Express your answer as aprobabilityfrom 0 to 1 to the 4th decimal place Include a zero before the decimal point

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QUESTION 6

Suppose you're hiring a new worker for your business. You'd like someone reliable. Suppose you use administer a test to job-seekers many other employers use to determine if applicants have this trait. The test is 90% senstitive and 95% specific. If 60 unreliable people apply and 20 reliable people apply, how manypositiveresults will you have?

10 points

QUESTION 7

Just like the last question, suppose you're hiring a new worker for your business. You'd like someone reliable. Suppose you use administer a test to job-seekers many other employers use to determine if applicants have this trait. The test is 90% senstitive and 95% specific. If 60 unreliable people apply and 20 reliable people apply, how manynegativeresults will you have?

10 points

QUESTION 8

As Bayes' Theorem illustrates, when you're testing for a rare event (e.g. a rare disease), it's unlikely that a positive result will translate into a high likelihood that the event happened. This is true even for tests which seem very accurate. This counter-intuitive result only works for rare events; why?
Because itresults ina lot of false negatives.
Because it results in a lot of false positives.
Because it causes specificity to fall.
Because it causes sensitivity to fall.

10 points

QUESTION 9

Let's use the same numbers from the previous question again: 99% sensitive and 95% specific with 2% of employees on drugs. What the probability that an employee doesn't use drugs assuming the test came back negative? Express your answer as a probability from 0 to 1 to the 4th decimal place.Include a zero before the decimal point.

20 points

QUESTION 10

Suppose you're testing your employees for drug use. You decide to run a test which is 99% sensitive and 95% specific. If 2% of employees use drugs, what the probability that an employee uses drugs assuming the test came back positive? Express your answer as aprobabilityfrom 0 to 1 to the 4th decimal place.Include a zero before the decimal point.