Answer:
Therefore the required probability is 0.6472.
Step-by-step explanation:
Poisson distribution: A Poisson distribution is discrete distribution.
Let X be a discrete variable the number of event. Let λ be the mean of X.
Then the probability of k event is
[tex]P(X=k)=\frac{\lambda^ke^{-\lambda}}{k!}[/tex]
Here mean of each page is =0.03
Mean of 100 pages = (0.03×100)= 3
λ = 3
The required probability
P(X≤3)
= P(X=0)+P(X=1)+P(X=2)+P(X=3)
[tex]=\frac{3^0e^{-3}}{0!}[/tex] [tex]+\frac{3^1e^{-3}}{1!}[/tex][tex]+\frac{3^2e^{-3}}{2!}[/tex][tex]+\frac{3^3e^{-3}}{3!}[/tex]
[tex]=e^{-3}(1+3+\frac{9}{2}+\frac{27}{6})[/tex]
[tex]=e^{-3}(13)[/tex]
≈ 0.6472
Therefore the required probability is 0.6472