CD Page view ARead aloud D Add text V Draw Highligh According to the CDC, as of MAY 2021, it is suspected that 2% 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 5%. That means that about 5% of people who don't have COVID will nonetheless test positive. Consider the following two-way table for 10,000 randomly selected people who were tested for COVID using (RT-PCR). SL- Positive test Negative test Total Has COVID No COVID Total A. B 0000 1. fill in the missing values in the table. • B • D 2. What is the probability of choosing someone who tested poOsitive? 3. What is the probability of choosig someone who has COVID? 4. What is the probability of choosing someone who does not have COVID and tested positive? 5. What is the probability of choosing someone with COVID given that they tested posi- tive? 58°F I 近 0 F5
CD Page view ARead aloud D Add text V Draw Highligh According to the CDC, as of MAY 2021, it is suspected that 2% 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 5%. That means that about 5% of people who don't have COVID will nonetheless test positive. Consider the following two-way table for 10,000 randomly selected people who were tested for COVID using (RT-PCR). SL- Positive test Negative test Total Has COVID No COVID Total A. B 0000 1. fill in the missing values in the table. • B • D 2. What is the probability of choosing someone who tested poOsitive? 3. What is the probability of choosig someone who has COVID? 4. What is the probability of choosing someone who does not have COVID and tested positive? 5. What is the probability of choosing someone with COVID given that they tested posi- tive? 58°F I 近 0 F5
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:CD Page view
ARead aloud
D Add text
V Draw
Highligh
According to the CDC, as of MAY 2021, it is suspected that 2% 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 5%.
That means that about 5% of people who don't have COVID will nonetheless test positive.
Consider the following two-way table for 10,000 randomly selected people who were tested
for COVID using (RT-PCR).
SL-
Positive test Negative test Total
Has COVID
No COVID
Total
A.
B
0000
1. fill in the missing values in the table.
• B
• D
2. What is the probability of choosing someone who tested poOsitive?
3. What is the probability of choosig someone who has COVID?
4. What is the probability of choosing someone who does not have COVID and tested
positive?
5. What is the probability of choosing someone with COVID given that they tested posi-
tive?
58°F I
近 0
F5
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