BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -You can use a Poisson distribution to predict or explain the number of events occurring within a given interval of time or space. “Events” could be anything from disease cases to customer purchases to meteor strikes. The interval can be any specific amount of time or space, such as 10 days or 5 square inches.

Detailed explanation-2: -The Poisson distribution is a discrete probability function that means the variable can only take specific values in a given list of numbers, probably infinite. A Poisson distribution measures how many times an event is likely to occur within “x” period of time.

Detailed explanation-3: -The result is very close to the result obtained above dpois(x = 1, lambda = 1) =0.3678794. The appropriate Poisson distribution is the one whose mean is the same as that of the binomial distribution; that is, =np, which in our example is =100×0.01=1.

Detailed explanation-4: -Answer: Poisson distribution is a continuous probability distribution: FALSE. The Poisson distribution is a discrete probability distribution, which is used when a certain event occurs at a fixed rate over a certain interval. The random variable counts the number of times an event occurs in this given interval.