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In these lessons, we will learn what is conditional probability and how to use the formula for conditional probability.
Conditional probability is the probability of an event occurring given that another event has already occurred. It’s a fundamental concept in probability theory and statistics.
Notation:
The conditional probability of event A occurring given that event B has occurred is written as P(A|B).
The following diagram shows the formula for conditional probability. Scroll down the page for more examples and solutions on finding the conditional probability.
The probability of an event occurring given that another event has already occurred is called a conditional probability.
Recall that when two events, A and B, are dependent, the probability of both occurring is:
P(A and B) = P(A) × P(B given A)
or P(A and B) = P(A) × P(B | A)
If we divide both sides of the equation by P(A) we get the
Formula for Conditional Probability
Intuitive Explanation:
Imagine you have a sample space of all possible outcomes. When you are given that event B has occurred, you are essentially restricting your focus to only the outcomes within event B. The conditional probability P(A|B) then asks, “Out of all the outcomes in event B, what proportion of them are also in event A?”
Steps to Calculate Conditional Probability:
Step 1: Write out the Conditional Probability Formula in terms of the problem
Step 2: Substitute in the values and solve.
Example:
Susan took two tests. The probability of her passing both tests is 0.6. The probability of her
passing the first test is 0.8. What is the probability of her passing the second test given that
she has passed the first test?
Solution:
Example:
A bag contains red and blue marbles. Two marbles are drawn without replacement. The probability of
selecting a red marble and then a blue marble is 0.28. The probability of selecting a red marble
on the first draw is 0.5. What is the probability of selecting a blue marble on the second draw,
given that the first marble drawn was red?
Solution:
Solution:
What is the probability that the total of two dice will be greater than 9, given that the first die is a 5?
Solution:
Let A = first die is 5
Let B = total of two dice is greater than 9
P(A) =
Possible outcomes for A and B: (5, 5), (5, 6)
P(A and B) =
Conditional probability is about narrowing down the set of possible circumstances so that the statistics can be measured more accurately.
This video introduces the basic definition of conditional probability as it is defined in standard probability theory.
Tutorial on how to calculate conditional probability for two events P(A), P(B), P(B|A) with two examples.
Examples:
Relationship to Independence:
Two events A and B are independent if and only if:
P(A|B) = P(A)
P(B|A) = P(B)
P(A ∩ B) = P(A) * P(B)
If events are independent, the occurrence of one event does not affect the probability of the other event.
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