Consider the chart of data below testing for the Corona Virus (also known as COVID-19). Positive Result Negative Result Total Has Corona Virus 213,750 11,250 225,000 Does not have Corona Virus 63,750 1,211,250 1,275,000 Total 277,500 1,222,500 1,500,000 If a person got a negative test result, what is the probability they actually have COVID-19? Round your answer as a percentage with two decimal places.

Consider the chart of data below testing for the Corona Virus (also known as COVID-19). Positive Result Negative Result Total Has Corona Virus 213,750 11,250 225,000 Does not have Corona Virus 63,750 1,211,250 1,275,000 Total 277,500 1,222,500 1,500,000 If a person got a negative test result, what is the probability they actually have COVID-19? Round your answer as a percentage with two decimal places.

Name: Consider the chart of data below testing for the Corona Virus (also kn
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Description: Consider the chart of data below testing for the Corona Virus (also known as COVID-19). Positive ResultNegative ResultTotalHas Corona Virus213,75011,250225,000Does not have Corona Virus63,7501,211,2501,275,000Total277,5001,222,5001,500,000If a perso

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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QUESTION 26 Employees in a company experience distractions (phone calls, emails, unscheduled visits etc.) during their office hours. Given that the distraction times are right skewed with a mean of 95 minutes and a standard deviation of 18 minutes. What is the probability that for a random sample of 36 employees their mean distraction time is more than 100 minutes? 0.0004 0.0478 0.3906 0.9772
No Excel spreadsheets, please. I need to see the work to better understand the material.
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.)
0.028 0.147 0.321 0.332
The data below was obtained from a random survey of 459459 people. The participants were asked their political party and whether they approve, disapprove, or have no opinion of how the president is doing his job. The results of the survey are as follows: Democrat Republican Independent Total Approve 103 56 8 167 Disapprove 109 123 5 237 Undecided 27 28 5 55 Total 239 207 18 459 If a person if selected at random, what is the empirical probability that the the person approves of the job the president is doing or is an independent?
=null O 0.525 O 0.093 O 0.103 QUESTION 3 Find the indicated probability. The table below describes the exercise habits of a group of people suffering from high blood pressure. If one of the 980 subjects is randomly selected, find the probability that the person selected is female given that they exercise occasionally. No Occasional Regular exercise exercise exercise Total Men 361 87 66 514 Women 334 60 72 466 Total 695 147 138 980 Solution: P= 60/147=0.4082 O 0.408 O 0.061 0.15 O 0.129 QUESTION 4 Find the indicated probability.
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…
Samuel F.B. Morse (1791 – 1872), the creator of Morse Code, claimed that 12% of all letters used in the English language were “e”s. Suppose random samples of 196 letters are selected from a book What is the probability that a random sample of 196 letters will contain at least 10% "e"s? Type your calculated z-score here. Express its value to the nearest hundredth (two decimal places). Type your probability here. Express its value to four decimal places. Do not round.
The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control and Prevention (CDC). A local hospital randomly selects five births and lets the random variable X count the number not resulting in a defect. Assume the births are independent. What is the probability that at least one of the births results in a defect? 0.8574 1.0000 0.0000 O 0.1426
I need help with part 4 Please

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	Positive Result	Negative Result	Total
Has Corona Virus	213,750	11,250	225,000
Does not have Corona Virus	63,750	1,211,250	1,275,000
Total	277,500	1,222,500	1,500,000