answer : Given conditions in question are for test of coronavirus : 0.001 false positive rate and no false negative rate. Incidence are 0.001% and 1 % For both scenarios following is the calculation.
18. Imagine that coronavirus has a 0.002% incidence in the population. A test for the virus...
In a cross between two mottled offspring, what is the probability of getting a mottled offspring? (2 points) In a cross between two mottled flowers, if there are two offspring, what is the probability of getting one black offspring and one white offspring? (2 points) In a cross between two mottled flowers, if there are two offspring, what is the probability of getting one white offspring and one mottled offspring? (2 points) In a cross between mottled flowers, if there...
6. Imagine that Zika virus has a 1% incidence in the population. A test for the virus has a 3% false positive rate and no false negative rate. If someone takes the test and gets a positive result, what is the chance that they are infected? 7. Imagine that human papillomavirus has a 40% incidence among people 21-30 years of age. A test for the virus has a 50% false negative rate but no false positive rate. If you get...
please answer willy will test positive, Pllositi betuistuse sal 7. Imagine that human papillomavirus has a 40% incidence among people 21-30 years of age. A test for the virus has a 50% false negative rate but no false positive rate. If you get a negative test for the virus, what's the chance that you are infected? ay (2
3. There’s a zombie virus outbreak. The virus has already infected 2% of the world's population. The infected people will eventually turn into zombies, so we want to isolate them now, before they become truly dangerous and infect other people. The scientists in AC Labs invented a test kit for the virus. The test’s sensitivity is 95% (i.e., for 95% of the infected people the test result will be positive) and specificity is 95% (i.e., 95% of the non-infected the...
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 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...
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...
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...
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...