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Let X equal the number of typos on a printed page with a mean of 4 typos per page.

(a) What is the probability that a randomly selected page has at least one typo on it?
(b) What is the probability that a randomly selected page has at most one typo on it?

1 Answer

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Answer:

a) There is a 98.17% probability that a randomly selected page has at least one typo on it.

b) There is a 9.16% probability that a randomly selected page has at most one typo on it.

Explanation:

Since we only have the mean, we can solve this problem by a Poisson distribution.

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:


P(X = x) = (e^(-\mu)*\mu^(x))/((x)!)

In which

x is the number of sucesses

e = 2.71828 is the Euler number


\mu is the mean in the given time interval.

In this problem, we have that
\mu = 4

(a) What is the probability that a randomly selected page has at least one typo on it?

Thats is
P(X \geq 1). Either a number is greater or equal than 1, or it is lesser. The sum of the probabilities must be decimal 1. So:


P(X < 1) + P(X \geq 1) = 1


P(X \geq 1) = 1 - P(X < 1)

In which


P(X < 1) = P(X = 0).

So


P(X = 0) = (e^(-4)*4^(0))/((0)!) = 0.0183


P(X \geq 1) = 1 - P(X < 1) = 1 - 0.0183 = 0.9817

There is a 98.17% probability that a randomly selected page has at least one typo on it.

(b) What is the probability that a randomly selected page has at most one typo on it?

This is
P = P(X = 0) + P(X = 1). So:


P(X = 0) = (e^(-4)*4^(0))/((0)!) = 0.0183


P(X = 1) = (e^(-4)*4^(1))/((1)!) = 0.0733


P = P(X = 0) + P(X = 1) = 0.0183 + 0.0733 = 0.0916

There is a 9.16% probability that a randomly selected page has at most one typo on it.

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