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Ex 13.1, 1 - Chapter 13 Class 12 Probability
Last updated at August 5, 2026 by Teachoo
Chapter 13 Class 12 Probability
Concept wise
-
Conditional Probability - Values given
- Conditional Probability - Statement
- Multiplication rule of probability
- 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
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Transcript
Ex 13.1, 1 Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E ā© F) = 0.2, find P (E|F) and P(F|E)Given, P(E) = 0.6 P(F) = 0.3 & P(E ā© F) = 0.2 So, P(F ā© E) = P(E ā© F) = 0.2 P(E|F) = (š(šø ā© š¹))/(š(š¹)) = 0.2/0.3 = š/š P(F|E) = (š(š¹ ā© šø))/(š(šø)) = 0.2/0.6 = 2/6 = š/š
