Bernoulli & Binomial Random Variables Problem

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I am attempting the following problem:

Question: 15% of shirts produced at a manufacturing factory are defective, what is the probability that a random sample of 6 shirts from this factory contain:

1) No defective shirts

2) At least 4 defective shirts


Attempt:

  • Define X to be the number of defective products.
  • P(defective shirt) = .15

Part 1:

  • n = 6

  • p = .15

  • X~B(6,.15)

\begin{align} P(X=0) & = {6 \choose 0}(.15)^0(1-.15)^{6-0}\\ \nonumber &= (1-.15)^{6}\\ \end{align}

Part 2:

  • n = 6

  • p = .15

  • X~B(6,.15)

\begin{align} P(X \geq 4) & = 1-P(X<4)\\ \nonumber &= 1-P(X=3)-P(X=2)-P(X=1)-P(X=0)\\ \nonumber &=1-{6 \choose 3}(.15)^3(1-.15)^{6-3}-{6 \choose 2}(.15)^2(1-.15)^{6-2}\\ \nonumber &-{6 \choose 1}(.15)^1(1-.15)^{6-1}-{6 \choose 0}(.15)^0(1-.15)^{6-0}\\ \end{align}