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 43 13 Subject Is Not a Drug User 20 37 The probability of a false positive test result is?

please help me answer both questions fully  they both have two question. thank you

Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly​ selected, what is the probability that the subject is not​ lying? Is the result close to the probability of 0.4450.445 for a negative test​ result?   Did the Subject Actually Lie?   No​ (Did Not​ Lie) Yes​ (Lied)   Positive test results 1717 4444 Negative test results 3535 1414 The probability that a randomly selected polygraph test subject was not lying is nothing. ​(Type an integer or decimal rounded to three decimal places as​ needed.) Is the result close to the​ probability, rounded to three decimal​ places, of 0.445 for a negative test​ result?

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 37 12 Subject Is Not a Drug User 19 32 The probability of a false positive test result is nothing. ​(Round to three decimal places as​ needed.)

Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that th subject is not lying? Is the result close to the probability of 0.460 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) O Positive test results 15 39 Negative test results 34 12 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.460 for a negative test result? because there is a 0.050 absolute difference between the probability of a true response and the probability of a negative test result.

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 2 29 The probability of a false positive test result is (Round to three decimal places as needed.) Who would suffer from a false positive result? Why? O A. The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs. B. The employer would suffer because the person tested would not be suspected of using drugs when in reality he or she does use drugs. C. The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs. D. The employer would suffer…

Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.443 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) O Positive test results 10 44 Negative test results 36 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.443 for a negative test result? because there is V a 0.050 absolute difference between the probability of a true response and the probability of a negative test result. Enter your answer in the answer box. Prise 6. LEGO

A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information. Cups of Coffee Frequency 0 700 1 900 2 500 3 400   2,500 ​ The expected number of cups of coffee is   a. 1.   b. 1.24.   c. 1.5.   d. 1.03.