Using bayes theorem formula, assume one person out of 10,000 is infected with hiv, and there is a test in which 2.5% of all people test positive for the virus although they do not really have it. if you test negative on this test, then you definitely do not have hiv. what is the chance of having hiv, assuming you test positive for it?

a) one student is chosen from classroom a, then a student is chosen from classroom b.  

step-by-step explanation:

independent events are ones in which the probability of one event does not affect the probability of the second event.

one student is chosen from classroom a; this does not affect the chances of choosing a student from classroom b.   this makes these independent events.

when one card is chosen from a standard deck and then set aside before a second card is chosen, the probability of the second card being chosen changes.   this makes them dependent events.

when one student is chosen from classroom a and then a second student is chosen from classroom a, the probability of choosing the second student changes.   this makes them dependent events.

when a letter is chosen from the alphabet and then a second letter is chosen, the probability of choosing the second letter changes.   this makes them dependent events.

answer: group b.

step-by-step explanation:

answer: what are the answer choices?

step-by-step explanation: