The average number of advertisement per page appearing in a newspaper ...
Probability of Zero Advertisements on a Newspaper Page
Given Information:
- Average number of advertisements per page = 3
Solution:
Since the average number of advertisements per page is given as 3, we can assume that the distribution of the number of advertisements on a page follows a Poisson distribution with parameter λ = 3.
Let X be the random variable representing the number of advertisements on a page.
The probability of having zero advertisements on a page can be calculated as:
$$P(X=0) = \frac{e^{-\lambda}\lambda^0}{0!} = e^{-\lambda} = e^{-3} \approx 0.0498$$
Explanation:
The Poisson distribution is used to model the number of events occurring in a fixed interval of time or space when these events occur independently and at a constant rate. In this case, the fixed interval of space is a newspaper page, and the events are the advertisements that appear on the page.
The Poisson distribution has one parameter, λ, which represents the average rate of events. In this case, λ = 3 since the average number of advertisements per page is 3.
The probability of having zero advertisements on a page is given by the Poisson probability mass function, which is:
$$P(X=k) = \frac{e^{-\lambda}\lambda^k}{k!}$$
Where k is the number of events (advertisements) and e is the mathematical constant approximately equal to 2.71828.
When k=0, the formula simplifies to:
$$P(X=0) = \frac{e^{-\lambda}\lambda^0}{0!} = e^{-\lambda}$$
Substituting λ = 3 into the formula, we get:
$$P(X=0) = e^{-3} \approx 0.0498$$
Therefore, the probability of having zero advertisements on a page is approximately 0.0498 or 4.98%.