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Apprendre Conditional probability | Statistical Dependence
Probability Theory Update
course content

Contenu du cours

Probability Theory Update

Probability Theory Update

1. Probability Basics
2. Statistical Dependence
3. Learn Crucial Terms
4. Probability Functions
5. Distributions

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Conditional probability

When do we use conditional probability?

Likelihood of an event occurring if that another event has already happened.

Formula:

P(A|B) = P(A and B)/P(B)

  • P(A|B) - the probability of A given B.
  • P(A and B) - the probability of A and B.
  • P(B) - the probability of B.

Task example:

You have 25 balls: 20 **yellow and 5 blue. Among these balls, 5 yellow balls have a defect and 4 blue. The randomly selected ball is blue; calculate the probability that it has a defect.

P(A|B) = P(A and B)/P(B)

  • P(deffect and blue) = 4/25 = 0.16 = 16%.
  • P(blue) = 5/25 = 0.2 = 20%.
  • P(deffect|blue) = 16%/20% = 80%.

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Section 2. Chapitre 7
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