# Analysing a single variable

## Introduction

You might want to analyse a single variable. How this can be done depends a bit on the measurement level of the variable, so this section is divided into a separate section for each level. The steps are in general the same though. First get an impression of the table (by using a frequency table), then visualise the data, and then perform a test to say something about the population.

For a binary variable you can test if each of the two categories might have the same proportion in the population.

For a nominal variable you can test if each option might have been equally often chosen in the population.

For an ordinal variable you can test if for example the majority of people at least agree (or fully agree).

For a scale variable you can test if the average (mean) in the population would be a certain value (e.g. is the average age above 40?).

Click on the measurement level you are interested in on the left to see how you can analyse it. Each section ends with an example on how to report the results. See the Fundamentals section in case you are not familiar with measurement levels first.

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