I am working on an assignment to use statistics to evaluate the view count of social media posts.

The data sets that I am working with appear to be fairly normally distributed; however, it is truncated because the view count will never be 0. The X axis represents the number of views posts receive.

A few questions:

1) What's the proper way to determine the size of bins?

In the first two attachments, I determined the number of bins and their width by looking at the data set and working backwards. In the "Bins Are Too Big" attachment, I rounded up the square root of the number of data points from the View Count 2 data set, then subtracted the smallest value from the set from the largest and divided that number by the rounded square root. These bins are likely too wide, but I don't know what other calculations to do.

2) How do standard deviations work in this scenario? For instance, -2σ would be to the left of the X axis, but views can never be negative.

3) What test statistics and formulas can I/should I use with these data? If I look at all of the view counts together, is that the sample or the population? (No other comparison points are given).

Any help is greatly appreciated!