$P(X=1) = \lambda e^{-\lambda}$, $P(X=2) = \frac{\lambda^2 e^{-\lambda}}{2}$
Setting equal: $\lambda = \frac{\lambda^2}{2} \Rightarrow \lambda = 2$
Verified 30 May 2026.
If $X$ follows a Poisson distribution and $P(X=1) = P(X=2)$, then the mean of the distribution is:
$2$
$1$
$3$
$\frac{1}{2}$
$P(X=1) = \lambda e^{-\lambda}$, $P(X=2) = \frac{\lambda^2 e^{-\lambda}}{2}$
Setting equal: $\lambda = \frac{\lambda^2}{2} \Rightarrow \lambda = 2$
Sign in to track your attempts and accuracy.
Sign in to keep a private note on this question. Nothing you write is ever public.
A bag contains 3 red and 5 blue balls. Two balls are drawn at random without replacement. The probability that both are red is:
Three coins are tossed simultaneously. The probability of getting exactly two heads is:
A bag contains 5 red and 3 blue balls. Two balls are drawn at random without replacement. The probability that both are red is:
In a binomial distribution with n=5 and p=1/3, the probability of exactly 2 successes is:
The variance of the data 2, 4, 6, 8, 10 is: