1. ## Sampling Distribution

An advertising executive receives an average of 10 telephone calls each afternoon between 2 and 4 P.M. The calls occur randomly and independently of one another.

a.) Find the probability that the executive will receive 13 calls between 2 and 4 P.M. on a particular afternoon (solve by hand).

b.) Find the probabily that the executive will receive seven calls between 2 and 3 P.M. on a particular afternoon (solve by hand).

My questions are whether or not this is example of a sampling distribution? And if it is, whats the first step to solving this problem?

2. Originally Posted by bohn14
An advertising executive receives an average of 10 telephone calls each afternoon between 2 and 4 P.M. The calls occur randomly and independently of one another.

a.) Find the probability that the executive will receive 13 calls between 2 and 4 P.M. on a particular afternoon (solve by hand).

b.) Find the probabily that the executive will receive seven calls between 2 and 3 P.M. on a particular afternoon (solve by hand).

My questions are whether or not this is example of a sampling distribution? And if it is, whats the first step to solving this problem?
The first step is to identify that the question is set up so that you may assume that the number of calls has a Poisson distribution.

CB