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**By Data Tricks**

Choosing which statistical test to use can be confusing, with a seemingly endless list of options depending on whether you have interval or nominal data, paired, unpaired or parametric. The interactive tool on this page has been developed to help you choose an appropriate statistical test.

The tool asks a set of questions about your objective and your data. Select the answer that best matches
your problem and the tool will recommend an appropriate statistical test. Click the link at the end for
instructions on how to perform the test or calculation in R.

Instructions are being updated regularly so please bear with us if the instructions for a particular test are not available.

I have split my data into groups and want to compare those groups

I am looking for links between variables

I have a single sample and I want to see if the average is different from a fixed value

I have two samples and want to see the differences between them

I have more than 2 samples and want to see the differences between them (note if your independent variable has more than 2 levels then you effectively have >2 samples)

Your scale has an order and known differences between the values, eg. cm to measure distance, or height

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

My samples are paired

My samples are not paired

Your scale has an order and known differences between the values, eg. cm to measure distance, or height

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

Your scale has an order and known differences between the values, eg. cm to measure distance, or height

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

My samples are matched

My samples are not matched

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

There are clearly defined dependent and independent variables

The variables are interdependent

Your scale has an order but different distances between values, eg. a rank order

Your measure has no quantitative value, eg. gender

All variables are on an interval scale

I have interval and/or ordinal variables but no nominal variables

All my variables are nominal

If you already know which statistical test you need, jump to the relevant section:

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