Poisson, Geometric, Negative Binomial Distributions Flashcards
What will we learn today?
Poisson
Poisson approximation to Binomial
Geometric
Negative Binomial
What is Poisson distrubtion?
The Poisson distribution is used to model the number of events occurring within a given time interval.
What special letter do we use for the poisson distubtion?
Eulers number e ( expontential)
What are some properties of poisson distrubtion?
arrivals are independent
constant rate
no more thana onen arrival at a given point of time.
give 2 examples of poission distubtion?
Machine breakdowns per uniti of time
Arrivals of buses at a stop per unit time
What is the probabilitiy distibution of Possion variable? ( we are still using random variable X?
What are the E(X) and Var(X) for poisson distrubtion?
If lander is small or big what does it mean and show on a diagram with 1 and 10?
The Poisson distribution is skewed to the right for small lander ; the skewness becomes less as lander increases; for large values of looks symmetric.
Same for variance, the larger the lander, the more variability there is.
Consider a machine which breaks down, on average, 3.2 times per week, hence lander = 3.2 per week. The probability that it will break down exactly once next week is:
• The probability that it will break down exactly four times in the next two weeks
Be careful with lander
Suppose bank customers arrive randomly on weekdays at an average of 1.5 every 3 minutes. What is the probability of:
exactly five customers in such a time?
at least four customers?
3) exactly 19 customers during an 9 minute interval
4) what is the exprected number of customers in 9 mins?
- Visitors arrive randomly at an art gallery at an average constant rate of one person every 2 minutes.
- The door is unattended for 5 minutes. Calculate the probability that:
No visitors arrived at the gallery.
At least 3 visitors arrived.
- Find to the nearest second, the length of time that the door had to be unattended, for there to be a probability 0.9 of no arrivals during that period.
- Comment briefly on the assumptions of Poisson process in this context.
so write at the possion distubtion and binominal distubtion again? and there expected value?
What is it possible to do with binominal distubtion and poisson distubtion?
• It is possible to use Poisson as an approximation to Binomial, under the following conditions
What are the following assumptions we can use to use poisson to approximate the binomial?
When approximaitng binominal using poisson, what is lander ?
Suppose we sample 100 items at random from a production line which is providing, on average, 2% defective items. What is the probability of exactly 3 defective items in our random sample?
What do we do first? to use possion to approximate binomial?