Ex 13.2, 5 - Chapter 13 Class 12 Probability (Term 2)
Last updated at May 29, 2018 by Teachoo
Independent events
Ex 13.2, 1
Ex 13.2, 6
Ex 13.2, 10 Important
Ex 13.2, 5 You are here
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
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, 5 A die marked 1, 2, 3 in red and 4, 5, 6 in green is tossed. Let A be the event, the number is even, and B be the event, the number is red . Are A and B independent? A die marked 1, 2, 3 in red and 4, 5, 6 in green is tossed. S = 1, 2, 3, 4, 5, 6 Let two events be A : the number is even B : the number is red Now, two events A and B are independent if P(A B) = P(A) . P(B) A B = the number is red and even Only 2 is red and even So, P(A B) = 1 6 And P(A) . P(B) = 1 2 1 2 = 1 4 Since P(A B) P(A) . P(B) Therefore, A and B are not independent
