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Lære Multiplication Rule for Dependent Events | Statistical Dependence
Probability Theory Update

bookMultiplication Rule for Dependent Events

Multiplication Rule for Dependent Events

We use the multiplication rule for dependent events if the order of events is essential.

Formula:

P(A 1st and B 2nd) = P(A) * P(B|A)

  • P(A 1st and B 2nd) - the probability of event A occurring first and event B occurring second,
  • P(A) - the probability of event A occurring,
  • P(B|A) - the probability of event B occurring after event A occured.

Task example:

You have a basket with 5 yellow and 15 blue balls. What is the probability that we will take the blue ball after the yellow?

  1. P(yellow) = 5/20 = 0.25 = 25%,
  2. P(blue|yellow) = 15/19 = 0.78947 = 78.947% (we tool one yellow ball, so, only 19 left),
  3. P(yellow and blue|yellow) = P(yellow) * P(blue|yellow) = 25% * 78.947% = 19.737%

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Sektion 2. Kapitel 6

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Multiplication Rule for Dependent Events

We use the multiplication rule for dependent events if the order of events is essential.

Formula:

P(A 1st and B 2nd) = P(A) * P(B|A)

  • P(A 1st and B 2nd) - the probability of event A occurring first and event B occurring second,
  • P(A) - the probability of event A occurring,
  • P(B|A) - the probability of event B occurring after event A occured.

Task example:

You have a basket with 5 yellow and 15 blue balls. What is the probability that we will take the blue ball after the yellow?

  1. P(yellow) = 5/20 = 0.25 = 25%,
  2. P(blue|yellow) = 15/19 = 0.78947 = 78.947% (we tool one yellow ball, so, only 19 left),
  3. P(yellow and blue|yellow) = P(yellow) * P(blue|yellow) = 25% * 78.947% = 19.737%

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 6
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