This tutorial will help you test the difference between an observed proportion and a theoretical one, using the one proportion test, in **Excel **with XLSTAT.

Not sure this is the statistical test you are looking for? Check out this guide.

#### Included in

XLSTAT-Base XLSTAT-Sensory XLSTAT-Marketing XLSTAT-Forecast XLSTAT-Biomed XLSTAT-Ecology XLSTAT-Psy XLSTAT-Quality XLSTAT-Premium## Dataset for comparing one proportion to a value

An Excel sheet with both the data and the results can be downloaded by clicking here.

The data are the results of the launch of a coin 30 times.

## Goal of this tutorial

We would like to assess if the coin is biased or not so we want to compare the results to the proportion 0.5 so half of the time a tail, half of the time a head.

## Setting up a test for comparing one proportion to a value

To start the proportion test go to the menu **Parametric test / Tests for one proportion**.

In the **General** tab, fill in the following information:

- Frequency: 19
- Sample size: 30
- Test proportion: 0.5
- Data format: Frequency

Select the option **z test** and go to the next tab.

As an alternative hypothesis choose the option **Proportion – Test proportion > D** as 19 is bigger than the expected frequency of 15. The default significance level is left as is: 5%.

The **Variance (confidence interval)** which is an option that appears only whan using the **Wald** confidence interval should be set to **Test proportion** as we want to calculate the confidence interval on the 0.5 proportion.

When ready click on **OK**.

## Results of a test for comparing one proportion to a value

The result is that as the p-value for this test is 0.072 which is superior to the 0.05 limit, the null hypothesis should be accepted and the difference between the proportions is equal to 0. This means that the coin is not biased.

The following video demonstrates how to run a proportion test on one proportion in XLSTAT.