For many waiting line situations, the arrivals occur randomly and independently of other arrivals and it has been found that a g
ood description of the arrival pattern is provided by : an exponential probability distribution.
a uniform probability distribution.
a normal probability distribution.
a Poisson probability distribution.
Considering the case : Many people waiting in line situations, the arrivals occur randomly and independently of other arrivals. A good description of the arrival pattern is provided by Poisson Probability Distribution. Option (a) an exponential probability distribution is false. As the arrival of the people is not continuous and may or may not occur at a constant average rate.Option (b) uniform probability distribution is false as the arrivals occur random but not uniform .Option (c) normal probability distribution is false. As the normal distribution is a Continuous Probability Distribution and the arrival of the people is not continuous. This is not Normal Distribution.
The x4 would have to be in the parentheses while the -3 would have to be on the outside because you are subracting 3 from 48 4 cases of 12 bottled waters is 48 total amount of bottled waters since Veronica drank 3 she has 45 bottled waters left
