n = 20 , p = 0.1 , q = 1 − p = 1 − 0.1 = 0.9. n=20, \ p=0.1,\ q=1-p=1-0.1=0.9. n = 20 , p = 0.1 , q = 1 − p = 1 − 0.1 = 0.9.
a. The probability of getting exactly k successes in n independent Bernoulli trials is given by the probability mass function:
P ( X = k ) = ( n k ) ⋅ p k ⋅ q n − k , P(X=k)=\begin{pmatrix} n \\ k \end{pmatrix}\cdot p^k \cdot q^{n-k}, P ( X = k ) = ( n k ) ⋅ p k ⋅ q n − k , where ( n k ) = n ! k ! ⋅ ( n − k ) ! \begin{pmatrix} n \\ k \end{pmatrix}=\cfrac{n! } {k! \cdot(n-k)! } ( n k ) = k ! ⋅ ( n − k )! n !
is the binomial coefficient.
P ( X = k ) = = ( 20 k ) ⋅ 0. 1 k ⋅ 0. 9 n − k = = 20 ! k ! ⋅ ( 20 − k ) ! ⋅ 0. 1 k ⋅ 0. 9 n − k . P(X=k)=\\=\begin{pmatrix} 20 \\ k \end{pmatrix}\cdot 0.1^k \cdot 0.9^{n-k} =\\
=\cfrac{20! } {k! \cdot(20-k)! } \cdot 0.1^k \cdot 0.9^{n-k} . P ( X = k ) = = ( 20 k ) ⋅ 0. 1 k ⋅ 0. 9 n − k = = k ! ⋅ ( 20 − k )! 20 ! ⋅ 0. 1 k ⋅ 0. 9 n − k .
b.
P ( X ≤ 4 ) = P ( X = 0 ) + P ( X = 1 ) + + P ( X = 2 ) + P ( X = 3 ) + + P ( X = 4 ) = = 20 ! 0 ! ⋅ 20 ! ⋅ 0. 1 0 ⋅ 0. 9 20 + + 20 ! 1 ! ⋅ 19 ! ⋅ 0. 1 1 ⋅ 0. 9 19 + + 20 ! 2 ! ⋅ 18 ! ⋅ 0. 1 2 ⋅ 0. 9 18 + + 20 ! 3 ! ⋅ 17 ! ⋅ 0. 1 3 ⋅ 0. 9 17 + + 20 ! 4 ! ⋅ 16 ! ⋅ 0. 1 4 ⋅ 0. 9 16 = = 0.9568. P(X\le4) =\\P(X=0)+P(X=1)+\\+P(X=2)+P(X=3)+\\+P(X=4)=\\
=\cfrac{20!}{0!\cdot20!}\cdot0.1^0\cdot0.9^{20} +\\+
\cfrac{20!}{1!\cdot19!}\cdot0.1^1\cdot0.9^{19} +\\+
\cfrac{20!}{2!\cdot18!}\cdot0.1^2\cdot0.9^{18} +\\+
\cfrac{20!}{3!\cdot17!}\cdot0.1^3\cdot0.9^{17} +\\+
\cfrac{20!}{4!\cdot16!}\cdot0.1^4\cdot0.9^{16} =\\
=0.9568. P ( X ≤ 4 ) = P ( X = 0 ) + P ( X = 1 ) + + P ( X = 2 ) + P ( X = 3 ) + + P ( X = 4 ) = = 0 ! ⋅ 20 ! 20 ! ⋅ 0. 1 0 ⋅ 0. 9 20 + + 1 ! ⋅ 19 ! 20 ! ⋅ 0. 1 1 ⋅ 0. 9 19 + + 2 ! ⋅ 18 ! 20 ! ⋅ 0. 1 2 ⋅ 0. 9 18 + + 3 ! ⋅ 17 ! 20 ! ⋅ 0. 1 3 ⋅ 0. 9 17 + + 4 ! ⋅ 16 ! 20 ! ⋅ 0. 1 4 ⋅ 0. 9 16 = = 0.9568.
c. The mean
μ = n p = 20 ⋅ 0.1 = 2. \mu=np=20\cdot0.1=2. μ = n p = 20 ⋅ 0.1 = 2. The standard deviation
σ = n p q = 20 ⋅ 0.1 ⋅ 0.9 = 1.34. \sigma=\sqrt{npq} =\sqrt{20\cdot0.1\cdot0.9} =1.34. σ = n pq = 20 ⋅ 0.1 ⋅ 0.9 = 1.34.
Comments