Mathematics, 16.12.2020 02:50 dondre54
Which statement best explains conditional probability and independence?
When two separate events, A and B, are independent, P(B|A)=P(A and B)P(A)=P(A)⋅P(B)P(A)=P(B). This means that the occurrence of event B first did not affect the probability of event A occurring next.
When two separate events, A and B, are independent, P(B|A)=P(A and B)P(A)=P(A)⋅P(B)P(A)=P(B). This means that the occurrence of event A first affected the probability of event B occurring next.
When two separate events, A and B, are independent, P(B|A)=P(A and B)P(A)=P(A)⋅P(B)P(A)=P(B). This means that the occurrence of event A first did not affect the probability of event B occurring next.
When two separate events, A and B, are independent, P(B|A)=P(A and B)P(A)=P(A)⋅P(B)P(A)=P(B). This means that the occurrence of event B first affected the probability of event A occurring next.
Answers: 2
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Worth 15 points handsome jack is buying a pony made of diamonds. the price of the pony is p dollars, and jack also has to pay a 25% diamond pony tax. which of the following expressions could represent how much jack pays in total for the pony? a= p = 1/4 b= p+0.25p c=(p + 1/4)p d=5/4p 0.25p choose 2 answers
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Which statement best explains conditional probability and independence?
When two separate events, A...
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