Types of distribution Flashcards
What is poisson distribution?
- is applicable in situations where random “events” occur at a certain rate (λ) over a period of time.
- used to calculate the probability of an event occurring over a certain interval.
What are the assumptions required for poisson distribution?
- The number of events that occur in any time interval is independent of the number of events in any other disjoint interval.
- The distribution of number of events in an interval is the same
for all intervals of the same size. - For a “small” time interval, the probability of observing an
event is proportional to the length of the interval. The proportionality constant corresponds to the “rate” at which events occur. - The probability of observing two or more events in an interval
approaches zero as the interval becomes smaller.
What is uniform distribution?
refers to a probability distribution where every value within a certain range has an equal probability of occurring. This means that each possible outcome is equally likely.
Mean formula in binomial distribution
E(x)= np
Variance in binomial distribution
V(x)= npq
Mean and variance in poisson distribution
all are qual to lambda, that is the rate
What is the pdf for uniform distribution?
f(x) = 1/ b-a
Mean in continuous uniform distribution
E(x) = b + a / 2
Variance in continuous uniform distribution
V(x) = (b - a)^2 / 12
Mean in discrete uniform distribution
E(x) = N + 1 / 2
Variance in discrete uniform distribution
V(x) = N^2 - 1 / 2