For many waiting line situations, the arrivals occur randomly and independently of other arrivals and it has been found that a good description of the arrival pattern is provided by a

Poisson Probability distribution.

Step-by-step explanation:

We are told that arrivals occur randomly and independently of other arrivals. This can be analyzed with Poisson Probability distribution because In statistics Poisson distribution is simply a statistical distribution that shows the number of times an event will likely occur within a specified amount of time.

This distribution is normally used for independent events which occur at a constant rate within a given time interval.

(-1,0) and (4,0) are x-intercepts.

step-by-step explanation:

x-intercepts are all points on the x-axis.

points (-1,0) and (4,0) are both x -intercepts.

the image of (6, 9) under a dilation is (4, 6). the scale factor is