The number of successes 'X' in 'n' number of independent and identically distributed Bernoulli trials follows binomial distribution. Binomial distribution has two parameters, 'n' and 'p', where 'n' is the number of trials, and 'p' is the probability of success in each trial. The probability that a passenger has change in the pocket is p=0.25, q=1-p=0.75
a) P(x≥3)=1-P(x=0)-P(x=1)-P(x=2)
P(x=0)="(^{15}_0)0.25^00.75^{15-0}=0.013"
P(x=1)="(^{15}_1)0.25^10.75^{14}=0.0668"
P(x=2)="(^{15}_2)0.25^20.75^{13}=0.1559"
P(x≥3)=1-0.013-0.0668-0.1559=0.7643
b) According to the founded probability P(x=0)=0.013 -if none of those passengers have been
stopped due to change in the pockets it would be unusual
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