Step 1: Understand the Poisson distribution.
The Poisson distribution for the number of events \( k \) occurring in a given interval of time (here, two weeks) is given by:
\[
P(k \text{ accidents in two weeks}) = \frac{\lambda^k e^{-\lambda}}{k!},
\]
where \( \lambda \) is the average number of events in the interval (here, 2 accidents per week, so \( \lambda = 4 \) for two weeks).
Step 2: Apply the formula for \( k = 3 \).
We are given that the probability is \( k e^{-6} \), so we substitute the values into the Poisson formula:
\[
P(3 \text{ accidents}) = \frac{4^3 e^{-4}}{3!} = \frac{64 e^{-4}}{6}.
\]
Thus, comparing this to \( k e^{-6} \), we find that \( k = 36 \).
Let the mean and variance of 7 observations 2, 4, 10, x, 12, 14, y, where x>y, be 8 and 16 respectively. Two numbers are chosen from \(\{1, 2, 3, x-4, y, 5\}\) one after another without replacement, then the probability, that the smaller number among the two chosen numbers is less than 4, is:
If the mean and the variance of the data 
are $\mu$ and 19 respectively, then the value of $\lambda + \mu$ is
Consider the following statements followed by two conclusions.
Statements: 1. Some men are great. 2. Some men are wise.
Conclusions: 1. Men are either great or wise. 2. Some men are neither great nor wise. Choose the correct option: