112k views
1 vote
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

5 votes

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.

User Sammitch
by
8.5k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories