Step 1: Understanding the Concept:
The occurrence of typo errors on pages can be modeled using the Poisson Distribution. The probability mass function is given by \( P(X=k) = \frac{e^{-\lambda}\lambda^k}{k!} \), where \(\lambda\) is the average rate of errors for the given interval (number of pages).
Step 2: Calculate the mean parameter \(\lambda\):
The rate of errors is given as "1 per 10 pages".
For an assignment of 40 pages, the expected number of errors (\(\lambda\)) is:
\[
\lambda = \frac{1}{10} \times 40 = 4
\]
Step 3: Calculate the probability \(p\):
We need the probability that the typo errors are at most 2, i.e., \( P(X \le 2) \).
\[
p = P(X=0) + P(X=1) + P(X=2)
\]
Using the formula with \(\lambda = 4\):
\[
p = \frac{e^{-4} \cdot 4^0}{0!} + \frac{e^{-4} \cdot 4^1}{1!} + \frac{e^{-4} \cdot 4^2}{2!}
\]
\[
p = e^{-4} \left( 1 + 4 + \frac{16}{2} \right) = e^{-4} (1 + 4 + 8) = 13e^{-4}
\]
Step 4: Find the value of \(e^2 p\):
\[
e^2 p = e^2 \cdot (13e^{-4}) = 13e^{2-4} = 13e^{-2}
\]
Final Answer:
The value of \(e^2 p\) is \(13e^{-2}\).