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 \( k = 36 \).
The probability distribution of the random variable X is given by
X | 0 | 1 | 2 | 3 |
---|---|---|---|---|
P(X) | 0.2 | k | 2k | 2k |
Find the variance of the random variable \(X\).
A remote island has a unique social structure. Individuals are either "Truth-tellers" (who always speak the truth) or "Tricksters" (who always lie). You encounter three inhabitants: X, Y, and Z.
X says: "Y is a Trickster"
Y says: "Exactly one of us is a Truth-teller."
What can you definitively conclude about Z?
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: