Let's say customers can buy one single product in a store open 24/7, and that the time of day does not influence anything (sales are equidistributed along the day).
With which classical distribution can we model the number of sales per day, and also the waiting time between two consecutive sales?
I would intuitively say a Poisson distribution for the former but I'm not sure about this, or if there are more specific distributions that can be used to model such situations.
Now if the sales are non equidistributed along the day, but instead like this:
|Hour of day||00:00 to 06:00||06:00 to 12:00||12:00 to 18:00||18:00 to 24:00|
|Sales of the day||5%||35%||40%||20%|
how can we model this?