A certain virus infects one in every 300 people. A test used to
detect the virus in a person is positive 80% of the time if the
person has the virus and 5% of the time if the person does not have
the virus. (This 5% result is called a false positive.) Let A be
the event "the person is infected" and B be the event "the person
tests positive".
a) Find the probability that a person has the virus given that they
have tested positive, i.e. find P(A|B). Round your answer to the
nearest tenth of a percent and do not include a percent sign.
P(A|B)=____ %
b) Find the probability that a person does not have the virus given
that they test negative, i.e. find P(A'|B'). Round your answer to
the nearest tenth of a percent and do not include a percent
sign.
P(A'|B') =____ %
A certain virus infects one in every 300 people. A test used to detect the virus...
A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 90% of the time if the person has the virus and 8% of the time if the person does not have the virus. (This 8% result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive". a) Find the probability that a person has the virus...
2 pts 1 Details < > Question 16 A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time if the person has the virus and 8% of the time if the person does not have the virus. (This 8% result is called a false positive.) Let A be the event the person is infected" and B be the event "the person tests positive". a) Find...
A certain virus infects one in every 500 people. A test used to detect the virus in a person is positive 90% of the time if the person has the virus and 10% of the time if the person does not have the virus. Let A be the event "the person is infected" and B be the event "the person tests positive." (a) Find the probability that a person has the virus given that they have tested positive. (b)...
A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 90% of the time when the person has the virus and 15% of the time when the person does not have the virus. (This 15% result is called a false positive.) Let A be the event the person is infected" and B be the event the person tests positive." (a) Using Bayes' Theorem, when a person tests positive, determine...
A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time when the person has the virus and 15 % of the time when the person does not have the virus. (This 15 % result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive." (a) Using Bayes' Theorem, when a person tests...
A certain virus infects one in every 250 people. A test used to detect the virus in a person is positive 80% of the time when the person has the virus and 15% of the time when the person does not have the virus. (This 15% result is called a false positive) Let A be the event "the person is infected" and B be the event "the person tests positive." (a) Using Bayes' Theorem, when a person tests positive, determine...
A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 80% of the time if the person has the virus and 5% of the time if the person does not have the virus. Using Bayes' Rule, if a person tests positive, determine the probability the person has the virus. Round to four decimal places.
Problem 7. A certain virus infects five in every 100 people. A test used to detect the virus in a person is positive 70% of the time if the person has the virus, and 9% of the time if the person does not have the virus. Using the Bayes’s theorem, if a person tests positive, determine the probability that the person is infected.
RBV testing Suppose that 1% of all people are infected with the rare banana virus (RBV). There is a test to detect the RBV: if you do have the RBV, then the test will correctly detect this 99% of the time; if you do not have RBV, then the test will correctly indicate this 97% of the time. We assume that if the RBV test is given repeatedly to the same person, then the test results are independent of cach...
#2b please 2. A test for a certain virus is given. The result is shown in the table below. Has the Virus Doesn't Have the Virus Tested Positive 1732 35 Tested Negative 29 3982 a. (5 pts) Calculate the probability that a randomly selected person has the virus or tested positive. b. (5 pts) Calculate the probability that a randomly selected person tests positive given that this person does not have the virus.