I only need help with the last three questions. Problem 4 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 10% of the time if the person does not have the virus. (This 10% result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive". Write as a decimal rounded to the fourth. Find the probability of an incorrect result P(~A|B) P(~A|~B) P(AUB) Given you tested positive, what's the probability of a correct result? PreviousNext
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
I only need help with the last three questions.
Problem 4
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 10% of the time if the person does not have the virus. (This 10% result is called a false positive.) Let A be the
- Find the
probability of an incorrect result - P(~A|B)
- P(~A|~B)
- P(AUB)
- Given you tested positive, what's the probability of a correct result?
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