# Paired t-test

Paired *t*-test is a parametric test for a difference in central location (mean) between two paired samples.

The requirements of the test are:

- Two paired samples measured on a continuous scale.
- Differences between the samples are from a population with a normal distribution.

## Arranging the dataset

Data in existing Excel worksheets can be used and should be arranged in a List dataset layout. The dataset must contain two continuous scale variables.

When entering new data we recommend using New Dataset to create a new **2 variables** dataset ready for data entry.

**Using the test**** **

**Using the test**

To start the test:

- Excel 2007:

Select any cell in the range containing the dataset to analyse, then click**Compare Pairs**on the**Analyse-it**tab, then click**t-test**. - Click
**Variable X**and**Variable Y**and select the variables to compare. - Click
**Alternative hypothesis**and select the alternative hypothesis to test. - Enter
**Confidence interval**to calculate around the mean difference. The level should be entered as a percentage between 50 and 100, without the % sign. - Click
**OK**to run the test.

Excel 97, 2000, 2002 & 2003:

Select any cell in the range containing the dataset to analyse, then click **Analyse **on the **Analyse-it **toolbar, click **Compare Pairs** then click **t-test**.

X ≠ Y to test if the mean(X) is not equal to mean(Y). |

X > Y to test if the mean(X) is greater than mean (Y). |

X < Y to test if the mean(X) is less than mean (Y). |

The report shows the number of observations analysed, and, if applicable, how many missing values were excluded. Summary statistics for each sample and the differences between the samples are then shown.

The difference between the means and confidence interval are shown to quantify the difference between the samples in terms that can be practically evaluated.

The t-statistic and hypothesis test are shown. The *p*-value is the probability of rejecting the null hypothesis, that the samples have the same mean, when it is in fact true. A significant p-value implies that the two samples have different means.

## Further reading & references

- Handbook of Parametric and Nonparametric Statistical Procedures (3rd edition)

David J. Sheskin, ISBN 1-58488-440-1 2003; 575.

- Welcome
- Getting started
- What's new in this version
- Installing Analyse-it
- Starting Analyse-it
- Defining Datasets
- Setting Variable properties
- Running a statistical test
- Working with analysis reports
- Analyse-it Standard edition
- Describe
- Compare groups
- Compare pairs
- Summary statistics, Box/Dot/Mean plots
- Test Difference in Location
- Paired t-test
- Wilcoxon Signed-ranks test
- Sign test
- 1-way repeat-measures ANOVA
- Friedman test
- Test Difference in Proportion
- Correlation
- Agreement
- Regression
- Analyse-it Method Evaluation edition
- Citing Analyse-it
- Contact us
- About us

Published -

Version