# The useful numbers or values in statistics / data science

I only have high school statistics and have forgotten most of it, so am doing a search to try and get current on what the most valuable numbers are in statistics / data science. I haven't been able to find a list beyond this without going into a statistics textbook or something like that. But I'm not sure it would all be centralized there as well, so I am continuing to look but thought it would be helpful to ask for later reference.

These are the important numbers I've found so far.

• sum
• min
• max
• range
• average
• median
• mode
• product
• standard deviation
• percentile
• probability
• percentage
• ratio

I am trying to get a sense of the scope of statistics / data science and am wondering what the numbers are within statistics / data science that are used regularly or are important.

• What do you mean by numbers within statistics/data science? Do you mean important metrics? – Wolfy Feb 5 at 21:58
• It's a long way from forgotten hs stats to data science, I think an elementary text will define all these terms for you, – Ethan Bolker Feb 5 at 21:59
• Well I am in particular thinking of "standard deviation" which is some sort of number I guess that "is a measure that is used to quantify the amount of variation or dispersion of a set of data values". So things of that nature. Looking here adds to the list "variance" and "geometric mean". And here reveals the Trimean, which I have never heard of. – Lance Pollard Feb 5 at 21:59
• I am a software developer so I have some sense of basic numbers, but I would like to know what other things like standard deviation there are. – Lance Pollard Feb 5 at 22:01