. Question 4 v Suppose that people fishing at a lake typically catch 4.4 fish per day. We are interested in the probability that on a given day, someone will catch 2 fish. Because we are given the mean number of daily fish caught, as opposed to the probability of catching fish, this situation can be modeled using a Poisson Distribution with: a. Success = '5'} a person catches a fish '31:? a person catches 4.4 fish "'3' a person does not catch a fish '5'} a person catches 2 fish . Question 5 v What distinguishes the Poisson Distribution from the Binomial or the Geometric distributions is that: '13:} You are given the expected number of successes instead of the probability of success '33:} You aren't computing probabilities in the Poisson Distribution '3' There are more than two possible outcomes '3' You cannot compute the standard deviation of the Poisson Distribution 0 Question 6 v There are on average 2.8 earthquakes per year in a town. You are interested in the probability that there will be 2 earthquakes in a given year. To model this situation, use: '33:? the Poisson distribution with p: = 2 C? The Poisson distribution with ,u = 0.02 '33:? The Geometric distribution with ,u = 2 '3' the Geometric distribution with p = 2.8 '33:? the Poisson distribution with p: = 2.8