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Repeated measures t-test

As explained in Effective Data Analysis

A repeated measures t-test is a statistical test that compares means from paired or otherwise dependent observations measured repeatedly.

A repeated measures t-test compares means from paired or otherwise dependent observations measured repeatedly. section 2.3.2

It supports before-and-after analysis by comparing average daily volumes measured during two periods, such as activity before and after a change. section 2.3.2

A practical analysis can:

  • Calculate daily totals and summarize them with means or medians. section 2.3.2
  • Compare mean daily volumes for the two repeated-measures periods. section 2.3.2
  • Evaluate results with a 95% confidence interval and document data limitations. section 2.3.2
Background slide in Sam’s presentation summarizing information in the long-form report.
sidebar figure

A presentation background slide helps connect the test with the surrounding before-and-after reporting workflow. section 2.3.2

How Effective Data Analysis covers it

How deep it goes
Demonstrates an applied comparison with descriptive statistics and a confidence interval, without detailing calculation mechanics.
Examples
Uses Help Center views and chat support requests measured across 90-day periods before and after changes.
What you can do after
Apply it to compare mean daily volumes across two before-and-after measurement periods.
How it connects
Connects repeated measures t-tests with descriptive statistics, confidence intervals, and before-and-after analysis.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.