Frank Gerbel, a local insurance representative, has hired a part-time assistant to make "cold" calls on potential customers. The assistant has been given a quota of 20 such calls to make each day, and a call is deemed a success if the potential customer agrees to set up an appointment to discuss his or her insurance needs with Mr. Gerbel.
Over the past 50 days, the distribution of the number of successful calls made by the assistant is as shown below.
Using the 0.05 level of significance, test the goodness of fit between these data and a Poisson distribution with λ = 1.4.
|
Number of successful Calls
|
Number of Days
|
|
0
|
17
|
|
1
|
15
|
|
2
|
9
|
|
3
|
4
|
|
4
|
1
|
|
5
|
3
|
|
6
|
1
|
|
|
50
|