
A) Mean and standard deviation of this distribution :
  Mean = 10,  Std = 2.82843
B) Probability of >16 in sample will be bankrupt : 0.01444
C) Probability that exactly 14 will go bankrupt : 0.04986
D) P( x = 7, 9 ) = 0.0878
E) P( x = 7, 15 ) = 0.0757
n = 50
p = 20/100 = 1/5.
q = 4 / 5
Applying binomial distribution to determine the mean and std
A) Mean = E(x) = n * p
            = 50 * 1/5 = 10
  Standard deviation = [tex]\sqrt{np(1-p)}[/tex]  =  [tex]\sqrt{8}[/tex]  ≈ 2.82843
B) P( x >16 )
∑[tex]50k=17P(X=k)=\sum50k=17 \binom{50}{k}( k50​ )4^{50-k} /5^{50}[/tex] =  0.01444.
C) Probability of ( x = 14 )
[tex]P(X=14)=\binom{50}{14}[/tex] *  4^36 / 5^50  ≈ 0.04986.
Applying the same formula to resolve options D and E
Hence we can conclude that the answers to your questions areas listed above:
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