Mathematics, 20.11.2020 19:20 janilaw1
Which statement best explains conditional probability and independence?
When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore,
P(A) = P(B) and P(A|B) = P(B).
When two separate events, A and B, are independent, P(A|B) = P(B). This means that the probability that event A
occurred first has no effect on the probability of event B occurring next.
When two separate events, A and B, are independent, P(A|B) = P(A). This means that the probability that event B
occurred first has no effect on the probability of event A occurring next.
When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore,
P(A) = P(B) and P(A|B) = P(A).
Answers: 3
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Answers: 1
Mathematics, 21.06.2019 19:30, Jenan25
Consider this equation. |y + 6| = 2 what can be concluded of the equation? check all that apply. there will be one solution. there will be two solutions. the solution to –(y + 6) = 2 will be also be a solution to the given absolute value equation. the solution(s) will be the number(s) on the number line 2 units away from –6. the value of y must be positive since the variable is inside absolute value signs.
Answers: 1
Which statement best explains conditional probability and independence?
When two separate events, A...
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