Approximately 1% of the US population currently have active coronavirus. According to Johns Hopkins, a particular type of COVID test (RT-PCR), has a false negative rate of 20%. That is, if a person has COVID, and takes this test, there is a 20% chance of testing negative. The false positive rate is about 1% (more recent COVID tests have a false positive rates around .4%). That means that about 1% of people who don’t have COVID will nonetheless test positive. Consider the following two-way table for 1000 randomly selected people who were tested for COVID using (RT-PCR). Positive testNegative testTotalHas COVID8210No COVID10980990Total189821000What is the probability of choosing someone who tested positive?What is the probability of choosing someone who has COVID?What is the probability of choosing someone who Doesn’t have COVID andtested positive?What is the probability of choosing someone with COVID given that they testedpositive?

Name: Approximately 1% of the US population currently have active coronaviru
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Description: Approximately 1% of the US population currently have active coronavirus. According to Johns Hopkins, a particular type of COVID test (RT-PCR), has a false negative rate of 20%. That is, if a person has COVID, and takes this test, there is a 20% chanc

Given Information: Positive Test Negative Test Total Has COVID 8 2 10 No COVID 10 980 990…

Answered: Approximately 1% of the US population…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Approximately 1% of the US population currently have active coronavirus. According to Johns Hopkins, a particular type of COVID test (RT-PCR), has a false negative rate of 20%. That is, if a person has COVID, and takes this test, there is a 20% chance of testing negative. The false positive rate is about 1% (more recent COVID tests have a false positive rates around .4%). That means that about 1% of people who don’t have COVID will nonetheless test positive. Consider the following two-way table for 1000 randomly selected people who were tested for COVID using (RT-PCR).

	Positive test	Negative test	Total
Has COVID	8	2	10
No COVID	10	980	990
Total	18	982	1000

What is the probability of choosing someone who tested positive?
What is the probability of choosing someone who has COVID?
What is the probability of choosing someone who Doesn’t have COVID andtested positive?
What is the probability of choosing someone with COVID given that they testedpositive?

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