n = 20
p = 2% = 0.02
We need to find "P(X\u22651)" , where X is the number of incorrect telephone bills mailed to households.
i) using binomial distribution
"P(X\\ge1)=1-P(X=0)"
"P(X\\ge1)=1-\\frac{20!}{0!20!}\\cdot0.02^0\\cdot0.98^{20}=1-0.6676=0.3324"
ii) using Poisson distribution
The average rate of incorrect bill is "\u03bb = np = 20*0.02 = 0.4"
"P(X\\ge1)=1-P(X=0)"
"P(X\\ge1)=1-\\frac{e^{-0.4}0.4^0}{0!}=1-0.6703=0.3297"
The probability that at least one bill will be incorrect in 20 bills is 0.3324 (by using binomial distribution) and 0.3297 (by using Poisson distribution). The binomial distribution and Poisson distribution give approximately the same result. Since one is a limiting case of the other there is not that much variation is observed in finding the probability of at least one bill will be incorrect.
Comments
Leave a comment