Ex 13.2, 18 - Chapter 13 Class 12 Probability (Term 2)
Last updated at Aug. 11, 2021 by Teachoo
Independent events
Ex 13.2, 1
Ex 13.2, 6
Ex 13.2, 10 Important
Ex 13.2, 5
Example 10
Example 11 Important
Example 12 Important
Ex 13.2, 15 (i)
Ex 13.2, 8
Ex 13.2, 7 Important
Ex 13.2, 11 (i)
Ex 13.2, 4
Ex 13.2, 13 Important
Ex 13.2, 14 Important
Ex 13.2, 18 (MCQ) Important You are here
Example 13 Important
Example 14 Important
Chapter 13 Class 12 Probability (Term 2)
Concept wise
- Conditional Probability - Values given
- Conditional Probability - Statement
- Multiplication rule of probability
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Independent events
- Basic Probability
- Theorem of total probability
- Bayes theorem
- Random Variable - Defination
- Probability distribution
- Mean or Expectation of random variable
- Variance and Standard Deviation of a Random Variable
- Bernoulli Trials
- Binomial Distribution
Transcript
Ex 13.2, 18 Two events A and B will be independent, if (A) A and B are mutually exclusive (B) P(A′B′) = [1 – P(A)] [1 – P(B)] (C) P(A) = P(B) (D) P(A) + P(B) = 1Two events A & B are independent if P(A ∩ B) = P(A) . P(B) P(A’ ∩ B’) = P(A’) . P(B’) = [1 – P(A)] [1 – P(B)] Hence, B is the correct answer Replacing A with A’ B with B’ (As P(A’) = 1 – P(A))
