Example 13 - Chapter 13 Class 12 Probability
Last updated at Dec. 16, 2024 by Teachoo
Independent events
Ex 13.2, 1
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Chapter 13 Class 12 Probability
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
Example 13 Prove that if E and F are independent events, then so are the events E and F′. Two events A and B are independent if P(A ∩ B) = P(A) . P(B) Now, P(E ∩ F’) = P(E and not F) = P(E) – P(E ∩ F) = P(E) – P(E) . P(F) = P(E) ( 1 – P(F)) ) = P(E) . P(F’) Since P(E ∩ F’) = P(E) . P(F’) Therefore, the events E & F’ are independent
