Question

I need a real basic explanation of what a sample distribution graph should look like compared to its population distribution!!

Answer 1

http://www.psychstat.missouristate.edu/introbook/sbk19m.htm

Answer 2

Sample distributions are generally finite. They have sets that can be counted.
Probability models are continuous and more theoretical based on analysis.
Ex:

Even though the sampling distribution may have outliers, the probability follows, more or less, the dotted bell curve.