If 5.6% of New York test positive for swine flu, and the test has a a true positive of 0.654 and a false positive of 0.08, what is the probability someone from New York actually has swine flu? **Must also include those who test negative despite having swine flu, e.g. the overall % of those that actually have swine flu** (Using Bayes Theorem)
If 5.6% of New York test positive for swine flu, and the test has a a true positive of 0.654 and a false positive of 0.08, what is the probability someone from New York actually has swine flu? **Must also include those who test negative despite having swine flu, e.g. the overall % of those that actually have swine flu** (Using Bayes Theorem)
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 5SE: The union of two sets is defined as a set of elements that are present in at least one of the sets....
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If 5.6% of New York test positive for swine flu, and the test has a a true positive of 0.654 and a false positive of 0.08, what is the probability someone from New York actually has swine flu? **Must also include those who test negative despite having swine flu, e.g. the overall % of those that actually have swine flu** (Using Bayes Theorem)
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