how to calculate the probability of a or b?
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Probability of A or B (1 of 3) If events A and B are mutually exclusive, then the probability of A or B is simply: p(A or B) = p(A) + p(B).
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['A and B together is impossible: P(A and B) = 0.', 'A or B is the sum of A and B: P(A or B) = P(A) + P(B)']
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["To convert from a probability to odds, divide the probability by one minus that probability. So if the probability is 10% or 0.10 , then the odds are 0.1/0.9 or '1 to 9' or 0.111.", 'To convert from odds to a probability, divide the odds by one plus the odds.']
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['Find P(Z > a). The probability that a standard normal random variable (z) is greater than a given value (a) is easy to find. The table shows the P(Z < a). ... ', 'Find P(a < Z < b). The probability that a standard normal random variables lies between two values is also easy to find.']
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SOLUTION: suppose a and b are independent events what if p (a)=0.5 and p(b) =0.45 what is p( a n b) When the independent the product of the two is the joint probability. If it is p( a and b), it is 0.5*0.45=0.225.
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Probability Rule Six (The Multiplication Rule for Independent Events): If A and B are two INDEPENDENT events, then P(A and B) = P(A) * P(B).
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To convert odds to probability, take the player's chance of winning, use it as the numerator and divide by the total number of chances, both winning and losing. For example, if the odds are 4 to 1, the probability equals 1 / (1 + 4) = 1/5 or 20%.
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Two events are independent if the result of the second event is not affected by the result of the first event. If A and B are independent events, the probability of both events occurring is the product of the probabilities of the individual events.
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Step-by-step explanation: If events A and B are mutually exclusive then the joint probability of A and B is 0, i.e. P (A ∩ B) = 0.
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['Step 1: Go to the distributions menu on the calculator and select binompdf. To get to this menu, press: followed by. ... ', 'Step 2: Enter the required data. In this problem, there are 9 people selected (n = number of trials = 9). The probability of success is 0.62 and we are finding P(X = 4).']
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Odds compare one event to another event, whereas probability compares one event to both possible events. Thus, when the odds are 3 to 2, the fraction for the Odds is 3/2, but the fraction to calculate the probability is 3/5. Formulas and calculations used for 3 to 2 odds where A=3 and B=2. Odds.
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If Events A and B are mutually exclusive, P(A ∩ B) = 0. The probability that Events A or B occur is the probability of the union of A and B. The probability of the union of Events A and B is denoted by P(A ∪ B) .
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Odds compare one event to another event, whereas probability compares one event to both possible events. Thus, when the odds are 2 to 9, the fraction for the Odds is 2/9, but the fraction to calculate the probability is 2/11. Formulas and calculations used for 2 to 9 odds where A=2 and B=9. Odds.
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If A and B are independent events with P(A) = 0.2 and P(B) = 0.6, then P(A U B)=? We know the following formula for the probability of 2 events: P(A U B) = P(A) + P(B) - P(A intersection B) We're told A and B are independent, which makes P(A intersection B)
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Mutually Exclusive Events The probability of A and B both occurring is 0 because they can't occur at the same time. If two events are mutually exclusive, then the probability of one or the other occurring is ...
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['If A and B are dependent events, then the probability of A happening AND the probability of B happening, given A, is P(A) × P(B after A).', 'P(A and B) = P(A) × P(B after A)', 'then P(A and B) = P(A) × P(B | A)', 'Example:', 'Example:', 'Solution:']
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Events A and B are independent if the equation P(A∩B) = P(A) · P(B) holds true. You can use the equation to check if events are independent; multiply the probabilities of the two events together to see if they equal the probability of them both happening together.