P(A/B) is known as conditional probability and it means the probability of event A that depends on another event B. It is also known as "the probability of A given B". P(A/B) Formula is used to find this conditional probability quickly. Show What is P(A/B) Formula?The conditional probability P(A/B) arises only in the case of dependent events. It gives the conditional probability of A given that B has occurred. P(A/B) FormulaP(A/B) = P(A∩B) / P(B) Similarly, the P(B/A) formula is: P(B/A) = P(A∩B) / P(A) Here, P(A) = Probability of event A happening. P(B) = Probability of event B happening. P(A∩B) = Probability of happening of both A and B. From these two formulas, we can derive the product formulas of probability.
Note: If A and B are independent events, then P(A/B) = P(A) or P(B/A) = P(B)
Have questions on basic mathematical concepts? Become a problem-solving champ using logic, not rules. Learn the why behind math with our certified experts Book a Free Trial Class P(A/B) Formula ExamplesExample 1: When a fair die is rolled, what is the probability of A given B where A is the event of getting an odd number and B is the event of getting a number less than or equal to 3? Solution: To find: P(A/B) using the given information. When a die is rolled, the sample space = {1, 2, 3, 4, 5, 6}. A is the event of getting an odd number. So A = {1, 3, 5}. B is the event of getting a number less than or equal to 3. So B = {1, 2, 3}. Then A∩B = {1, 3}. Using the P(A/B) formula: P(A/B) = P(A∩B) / P(B) \(P(A/B) = \dfrac{2/6}{3/6} = \dfrac 2 3\) Answer: P(A/B) = 2 / 3. Example 2: Two cards are drawn from a deck of 52 cards where the first card is NOT replaced before drawing the second card. What is the probability that both cards are kings? Solution: To find: The probability that both cards are kings. P(card 1 is a king) = 4 / 52 (as there are 4 kings out of 52 cards). P(card 2 is a king/card 1 is a king) = 3 / 51 (as the first king is not replaced, there is a total of 3 kings out of 51 left out cards). By the formula of conditional probability, P(card 1 is a king ∩ card 2 is a king) = P(card 2 is a king/card 1 is a king) × P(card 1 is a king) P(card 1 is a king ∩ card 2 is a king) = 3 / 51 × 4 / 52 = 1 / 221 Answer: The required probability = 1 / 221.
P(A/B) Formula is the formula used to calculate the conditional probability such that we have to find the probability of event 'A' occurring when event 'B' has occurred. P(A/B) Formula is given as, P(A/B) = P(A∩B) / P(B), where, P(A) is probability of event A happening, P(B) is the probability of event B happening and P(A∩B) is the probability of happening of both A and B. How to Find P(A∩B) using P(A/B) Formula?P(A∩B) can be calculated using the P(A/B) Formula as, P(A∩B) = P(A/B) × P(B), where, P(B) is the probability of event B happening and P(A∩B) is the probability of happening of both A and B. What is ∩ Symbol in P(A∩B) Formula?P(A/B) Formula is given as, P(A/B) = P(A∩B) / P(B), here ∩ symbol represents the intersection of event 'A' and event 'B'. P(A) is probability of event A happening, P(B) is the probability of event B happening and P(A∩B) is the probability of happening of both A and B. What is P(A∩B) Formula?P(A∩B) is the probability of both independent events “A” and "B" happening together, P(A∩B) formula can be written as P(A∩B) = P(A) × P(B),
Watch the video for a few quick examples of how to find the Probability of A and B / A or B: Probability of A or B (also A and B) Watch this video on YouTube. Can’t see the video? Click here. You may want to read this article first: Dependent or Independent Event? How to Tell the Difference.
1. What is the Probability of A and B?The probability of A and B means that we want to know the probability of two events happening at the same time. There’s a couple of different formulas, depending on if you have dependent events or independent events.
If the probability of one event doesn’t affect the other, you have an independent event. All you do is multiply the probability of one by the probability of another. ExamplesExample 1: The odds of you getting promoted this year are 1/4. The odds of you being audited by the IRS are about 1 in 118. What are the odds that you get promoted and you get audited by the IRS? Solution: That’s it! Example 2: The odds of it raining today is 40%; the odds of you getting a hole in one in golf are 0.08%. What are your odds of it raining and you getting a hole in one? Solution: That’s it!
The formula is a little more complicated if your events are dependent, that is if the probability of one event effects another. In order to figure these probabilities out, you must find p(B|A), which is the conditional probability for the event. Example question: You have 52 candidates for a committee. Four are persons aged 18 to 21. If you randomly select one person, and then (without replacing the first person’s name), randomly select a second person, what is the probability both people will be between 18 and 21 years old? Solution: Step 2: Figure out p(B|A), which is the probability of the next event (choosing a second person aged 18 to 21) given that the first event in Step 1 has already happened. Step 3: Multiply your probabilities from Step 1(p(A)) and Step 2(p(B|A)) together: Your odds of choosing two people aged 18 to 21 are 1 out of 221. 2. What is the Probability of A or B?The probability of A or B depends on if you have mutually exclusive events (ones that cannot happen at the same time) or not. If two events A and B are mutually exclusive, the events are called disjoint events. The probability of two disjoint events A or B happening is:
Example question: What is the probability of choosing one card from a standard deck and getting either a Queen of Hearts or Ace of Hearts? Since you can’t get both cards with one draw, add the probabilities: If the events A and B are not mutually exclusive, the probability is:
Example question: What is the probability that a card chosen from a standard deck will be a Jack or a heart?
So: ReferencesSalkind, N. (2019). Statistics for People Who (Think They) Hate Statistics 7th Edition. SAGE. ---------------------------------------------------------------------------
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