Revision as of 00:06, 4 May 2023 by Admin (Created page with "The number of tornadoes in a given year follows a Poisson distribution with mean 3. Calculate the variance of the number of tornadoes in a year given that at least one tornad...")
ABy Admin
May 04'23
Exercise
The number of tornadoes in a given year follows a Poisson distribution with mean 3.
Calculate the variance of the number of tornadoes in a year given that at least one tornado occurs.
- 1.63
- 1.73
- 2.66
- 3.00
- 3.16
ABy Admin
May 04'23
Solution: C
Let X be the number of tornadoes and Y be the conditional distribution of X given that X is at least one. There are (at least) two ways to solve this problem. The first way is to begin with the probability function for Y and observe that starting the sums at zero adds nothing because that term is zero. Then note that the sums are the first and second moments of a regular Poisson distribution.
[[math]]
p(y) = \operatorname{P}[Y = y] = \operatorname{P}[X = y | X \gt 0] = \frac{\operatorname{P}[X=y]}{\operatorname{P}[X\gt0]} = \frac{3^ye^{-3}/y!}{1-e^{-3}}, \, y = 1,2, \ldots
[[/math]]
[[math]]
\operatorname{E}(Y) = \frac{1}{1-e^{-3}} \sum_{y=1}^{\infty} y\frac{3^ye^{-3}}{y!} = \frac{1}{1-e^{-3}} \sum_{y=0}^{\infty} y \frac{3^ye^{-3}}{y!} = \frac{3}{1-e^{-3}}
[[/math]]
[[math]]
\operatorname{E}(Y^2) = \frac{1}{1-e^{-3}} \sum_{y=1}^{\infty}y^2 \frac{3^ye^{-3}}{y!} = \frac{1}{1-e^{-3}} \sum_{y=0}^{\infty} y^2 \frac{3^ye^{-3}}{y!} = \frac{3 + 3^2}{1-e^{-3}}
[[/math]]
[[math]]
\operatorname{Var}(Y) = \frac{12}{1-e^{-3}} - \left( \frac{3}{1-e^{-3}}\right)^2 = 2.6609.
[[/math]]