Jonathan S. answered 06/01/20
R expert. Patient, knowledgable, and experienced statistics tutor.
The first important thing to realize, is that a Poisson distribution is discrete. X can take the values 0, 1, 2, 3, ..., ∞
Next, it's important to realize that "greater than zero" is the complement of "exactly 0." P(X > 0) and P(X = 0) must sum to 1, because it is the sum of every probability in the distribution.
P(X > 0) = 1 - P(X = 0) = 1 - 0.40 * e-0.4/0! = 1 - e-0.4 ≈ 0.3297.
If you don't know where I got that formula from, look up the pmf of the Poisson distribution. I just substituted in lambda = 0.4 and x = 0.
Lydia A.
Thanks very much.I appreciate it.06/02/20