Ex 13.2, 6 - Chapter 13 Class 12 Probability
Last updated at April 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
Ex 13.2, 6 Let E and F be events with P(E) = 3/5 , P(F) = 3/10 = and P (E ∩ F) = 1/5 . Are E and F independent?Given, P(E) = 3/5 , P(F) = 3/10 & P(E ∩ F) = 1/5 Now, P(E) . P(F) = 3/5 × 3/10 = 9/50 ≠ P(E ∩ F) Since P(E ∩ F) ≠ P(E) . P(F) , Therefore, E and F are not independent events
