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Mean

Mean, as used in statistics, is one of the measures of central tendency. It is equivalent to the common usage of the word "average."

How to calculate the mean

The mean is defined by the sum of all the data divided by the number of data points.

If you have nn data points with values x1,x2,⋯ ,xnx_1,x_2,\cdots,x_n, the mean is calculated by x1+x2+⋯+xnn\frac{x_1+x_2+\cdots+x_n}{n}or more formally, ∑i=1nxin\dfrac{\sum\limits_{i=1}^{n}{x_i}}{n}

When to use the mean

Try not to use the mean when there are outliers, or points far away from the vicinity of most of the points.

For example, here are some hypothetical test scores:

If you calculate the mean of those numbers, you get 84.684.6. However, that is lower than 9 of the scores! The 43 pulls down the average and gives a result that doesn't represent the set very well.

Oftentimes, the better tool to use when there are outliers is the median. However, if you want to include the outliers for some reason, the mean is the better measurement.

Illustrated · 1 min

Mean is Average

To find the mean of a data set, you follow these steps:

  1. Add the data.

  2. Divide by number of data.

Let's look at the set {546 389 165 478 93 1073 848}\{546 \ 389 \ 165 \ 478 \ 93 \ 1073 \ 848\}.

add the data to get 3592 and divide by 7 to get 513.14.

Type a concept, like “slope” or “photosynthesis”.

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