Mean & Standard Deviation

01Mean & Standard Deviation

Mean

This section covers how the mean summarises quantitative data and how extreme values can affect it.

Summarising a sample

Quantitative investigations can produce many measurements. A mean gives a single value that summarises the average of the collected data.

mean=sum of all measurementsnumber of measurements\text{mean}=\frac{\text{sum of all measurements}}{\text{number of measurements}}

The symbol xˉ\bar{x} may also be used for the mean.

An extreme or outlying value can influence the mean strongly. A result far above or below the other measurements may shift the calculated mean so that it is less representative of the rest of the dataset.

Worked example: Fifteen rats take the following times, in seconds, to complete a maze:

12, 10, 15, 14, 17, 11, 12, 13, 9, 21, 14, 20, 19, 16, 23

Add the measurements:

12+10+15+14+17+11+12+13+9+21+14+20+19+16+23=22612+10+15+14+17+11+12+13+9+21+14+20+19+16+23=226

There are 15 measurements:

xˉ=22615=15.067\bar{x}=\frac{226}{15}=15.067

Rounded to three significant figures, the mean time is 15.1 s.

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