Solution:
n=50
20%/100%=1/5.
p=1/5.
This is binomial distribution with parameters n=50, p=1/5.
Then P(X=k)="\\binom{n}{k}" pk(1-p)n-k
P(X=k)="\\binom{50}{k}" (1/5)k(4/5)50-k="\\binom{50}{k}"450-k/550.
Here "\\binom{n}{k}" =n!/(k!(n-k)!) is binomial coefficient
a. Mean: E[X]=np=50"\\cdot"1/5=10.
Standart deviation: "\\sigma=\\sqrt{np(1-p)}=\\sqrt{50\\cdot 1\/5\\cdot 4\/5}=\\sqrt{8}=2\\sqrt{2}\\approx2.82843"
b. P(X>16)="\\sum" 50k=17P(X=k)="\\sum"50k=17 "\\binom{50}{k}"450-k/550"\\approx0.01444".
The probability that more than 16 in the sample will go bankrupt is approximately equal 0.01444
c. P(X=14)="\\binom{50}{14}" "\\cdot" 4^36/5^50"\\approx0.04986".
The probability that exactly 14 will go bankrupt is approximately equal =0.04986.
We used for calculations Maple and Wolfram Alpha.
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