#Pascal's triangle with probability?

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wraith plinth
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I don’t understand how the teacher solved the problem here, what’s the logic behind it and how Pascal's triangle is useful here. Also what is the difference between nPr and nCr?

ocean quartz
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p would be the probability he will win, in this case if he draws 1 or 2 out of 6 numbers, so p = 2/6 = 1/3

q is basically the probability he doesn't win q = 1 - p = 2/3

ocean quartz
#

a binomial probability is when the following conditions are met

  • finite no. of tries
  • exactly 2 possible outcomes (in this case, win or no win)
  • the probability of success (or winning) [p] is constant for each trail (conversely the probability of failure [q] is also constant)
  • the trails are independent of each other

general formula

Let X ~ B(n, r) denote the number of successes out of n trails

P(X = r) = nCr(p^r)(q^n-r)

  • r is no. success
  • p is probability of success
  • n is no. trails
  • q is probability of failure

hence in this case

Let X ~ B(4, 1/3) denote the number of wins out of 4 trails

the probability that he wins twice in 4 tries,
P(X = 2) = 4C2(1/3)^2 (2/3)^2