After a difficult past with mathematics, you find yourself in a a statistics 101 course. I am sure you were open-minded to the experience. But there are a few remnants of mathematics that tend to crop up every now and again. I will list a few things you may want to keep in mind.

- Simplifying equations: Please remember to work on multiplication and division before addition and subtraction .(ex. 4x-55/11+5=0=> 4x-5+5=0 => 4x=0)
- Graphical equation: Please know how to plot a graph (ex. y=x+1 which is really y=x with an intercept through y=1, x=0. You would graph it as follows
- Know how to calculate C(n,r) = n! / ( r! (n – r)! ) n=total sample r=# of elements chosen. Typically seen in a binomial distribution probability calulation.
- Know how to calculate exponentials and logs. Example: a
^{m+n} = a^{m} * a^{n}

a^{m-n} = a^{m} / a^{n}

a^{m*n} = (a^{m})^{n}

(a * b)^{n} = a^{n} * b^{n}

(a / b)^{n} = a^{n} / b^{n}

a^{-n} = 1 / a^{n}

a^{1} = a

a^{0} = 1

0^{0} = 1
- How to interpret decimals. If something is .0987 , you should be able to convert it to a percent, for example 9.87%
- Greek symbols. There are a few greek symbols that show up in both math and statistics. Here is a short list:http://stattrek.com/statistics/notation.aspx

This is just a few examples..

If you enjoyed this blog, there are more to follows-Amy

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