- What is Conditional Probability?
- Properties of Conditional Probability
- Weightage of Conditional Probability
- Illustrative Examples on Conditional Probability
- FAQs on Conditional Probability
What is Conditional Probability?
When the occurrence of one event is related to the occurrence of another event, you can find its probability with conditional probability. If event A occurs only if event B occurs first, it is called conditional probability. It is represented as P(A|B).
The Formula of Conditional Probability
Conditional probability P(A|B) can be expressed mathematically as:
P(A|B) = N(A ∩ B)/N(B),
where N(A ∩ B) represents the elements that are shared by both A and B and N(B) are the elements that are in B. N(B) can never be 0.
If N is the number of elements in the sample space, then the below statement is also true:
P(A|B) = N(A ∩ B)/N / N(B)/N ---- (1)
The probability of any event is the ratio obtained by dividing the number of expected outcomes with the total outcomes.
Therefore, N(A ∩ B)/N = P (A ∩ B) and N(B)/N = P(B) ----- (2)
From statements 1 and 2, we get:
P(A|B) = P (A ∩ B)/P(B)
Properties of Conditional Probability
Suppose E and F be the events that belong to the sample space S.
1st Property:
P(S|F) = P (S ∩ F)/P(F) = P(F)/P(F) = 1
and P(F|F) = P (F ∩ F)/P(F) = P(F)/P(F) = 1
Therefore, P(S|F) and P(F|F) = 1.
2nd Property:
If the sample space comprises events A and B, then the below statement holds true:
P((A ∪ B)|F) = P(A|F) + P(B|F) – P((A ∩ B)|F).
3rd Property:
If M and M′ are mutually exclusive or disjoint events, then the following statement is true:
P(M′|F) = 1 - P(M|F)
Weightage of Conditional Probability
You will learn conditional probability in detail in Class XII in ‘Probability’. The chapter has a weightage of around 10 marks, which means that conditional probability will have a maximum weightage of around 4 to 5 marks.
Illustrative Examples on Conditional Probability
1. Find the value of P(A|B) if P(A) = ⅚ and P(B) = 7/6 and P (A ∩ B) = ⅙
Solution. P(A|B) = P(A ∩ B)/P(B) = ⅙ / 7/6 = 1/7
2. A dice is thrown twice, and the numbers appearing are observed. If the sum of the numbers appearing on the dice is 5, what is the probability of number 2 appearing at least once?
Solution. Suppose that F is the event when the sum of the numbers is 5
F = { (1,4), (2,3), (3,2), (4,1)}
Therefore, P(F) = 4/36 = 1/9
Now, let E be the event that the number 2 appears at least once.
E = { (1,2), (2,2), (3,2), (4,2), (5,2), (6,2), (2,1), (2,3), (2,4), (2,5), (2,6)}
P(E) = 11/36
E ∩ F = {(2.3), (3.2)}
P(E ∩ F) = 2/36 = 1/18
Therefore,
P(E|F) = P(E ∩ F)/P(F) = 1/18 / 1/9 = ½.
FAQs on Conditional Probability
Q: What are disjoint events?
Q: Who found the concept of conditional probability?
Q: What is the difference between joint probability and conditional probability?
Q: What is the Bayes Theorem?
Q: Give the formula for Bayes Theorem.
Maths Probability Exam
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