Look at the 4 probability rules beow , an provide a REAL LIFE example for each. Also, with a Real LIfe EXAMPLE, explain how Disjoint events CAN be dependent. Rule 1. The probability P(A) of any event A satisfies 0 ≤ P(A) ≤ 1. Rule 2. If S is the sample space in a probability model, then P(S) = 1. Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint, P(A or B) = P(A) + P(B) This is the addition rule for disjoint events. Rule 4. For any event A, P(A does not occur) = 1 − P(A)

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Q: Which statement below proves A and B are independent events? P(A)=0.23, P(B)=0.62, P(A and…

A: If A and B are independent events then  P(A and B) =P(A) ×P(B)

Q: A and B are mutually exclusive events with P(A)= 0.30 and P(B) = 0.40. Calculate P(A or

A: GivenP(A)=0.30P(B)=0.40A and B are mutually exclusive

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Q: The probability of two events A and B are 0.25 and 0.5 respectively. Probability of ther…

A: Introduction :

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A: It is an important part of statistics . It is widely used .

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A: GiveP(E)=0.5P(F|E)=0.6

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Q: The Addition Rule for the probability that events A or B or C will occur, P(A or B or C), is given…

A: Given that  P(A)=0.32, P(B)=0.24, P(C)=0.11 P(A and B)=0.13, P(A and C)=0.03, P(B and C)=0.08 P(A…