# Analysing a single scale variable

## Introduction

When you have a single scale variable (e.g. age of respondent) you might be interested in the average and the variation, then visualise these results and last but not least determine what the sample result might say about the entire population. The analysis therefor breaks down into

*Part 1: Descriptive analysis
*

Use descriptive statistics to get an impression of the data, using:

1) A frequency table, using bins

2) A visualisation of the data using a Histogram

3) Some statistical measures for central tendency (the mean) and dispersion (standard deviation).

*Part 2: Inferential statistics*

After the first impression determine what can be said about the population based on your sample data by:

4) Testing if the population mean might deviate from what was suspected, using a one-sample t-test.

5) Determine the effect size (Cohen's d)

*Part 3: Reporting*

As the last step, you will need to write up all the results

For each part in this analysis a separate page was created. Let's begin with getting an impression of the results in the first part.

**Single scale variable**

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