If a publisher of nontechnical books takes great pains to ensure that itsbooks are free of typos, so that the probability of any given page containing at leastone such error is .005 & errors are independent from page to page. What is theprobability that:(a) One of its 400-page novels will contain exactly 1 page with errors? Answer: .271(b) At most three pages are with errors? Answer: .857

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Answer:

(a) The probability of exactly 1 page has error is 0.271.

(b) The probability that there are at most 3 pages has error is 0.857.

Step-by-step explanation:

Let X = number of typos.

The probability of a typo is, P (X) = p = 0.005.

The number of pages in the novel is, n = 400.

The random variable X follows a Binomial distribution with parameter n and p.

But as the probability is very small and the sample size is too large we can use Poisson distribution to approximate the binomial distribution.

This distribution has parameter, [tex]\lambda=np=400\times0.005=2[/tex].

The probability mass function of the Poisson distribution is:

[tex]P(X=x)=\frac{e^{-2}2^{x}}{x!} ;\ x=0,1,2,...[/tex]

(a)

Compute the probability of exactly 1 page has error as follows:

[tex]P(X=1)=\frac{e^{-2}2^{1}}{1!} =\frac{0.13534\times2}{1} =0.27068\approx0.271[/tex]

Thus, the probability of exactly 1 page has error is 0.271.

(b)

Compute the probability that there are at most 3 pages has error as follows:

P (X ≤ 3) = P (X = 0) + P (X = 1) + P (X = 2) + P (X = 3)

              [tex]=\frac{e^{-2}2^{0}}{0!}+\frac{e^{-2}2^{1}}{1!}+\frac{e^{-2}2^{2}}{2!}+\frac{e^{-2}2^{3}}{3!}\\=0.13534+0.27067+0.27067+0.18045\\=0.85713\\\approx0.857[/tex]

Thus, the probability that there are at most 3 pages has error is 0.857.