I am doing a data analysis on gas prices. My hypothesis is that Michigan retail gas prices are contingent on location and population, my data is below; my sample size is 5 cities in Michigan. I will make bell curve, I will do this in excel on a normal distribution but I dont know if this is possible using the data I have. How could I phrase the data so that I can use a sample size of 5, a standard deviation of 1 to determine hypothesis 0 and hypothesis 1? (retail gas price is contingent on population and location). I am OK with using t distribution as well, but I dont know which makes more sense? How can I correlate this data to fit in a bell curve? I am open to suggestions/changes. I am struggling a bit because I am not very educated in stats in the first place.

Thanks

City	Population	Avg Gas Price: Regular
Traverse City	15,984	$ 4.23
Marquette	22,048	$ 4.30
Jackson	32,062	$ 4.20
Pontiac	58,529	$ 4.20
Flint	94,374	$ 4.23