Which Statistical Test Should I Use? | 15-Page Decision Guide

Not sure whether you need a t-test, ANOVA, chi-square, correlation, regression — or something else?

This practical 15-page decision guide helps you move from your research question and variables to an appropriate statistical test, without simply guessing or copying the method used in another study.

Created by Maritina Lamprou, Statistical Analyst & Biostatistician, with 10+ years of experience supporting university students in Statistics and Data Analysis.

⭐ 5.0/5 Google rating from 87 client reviews

🏆 Award-recognised in Education

🎓 120+ university students supported

Research question → Variables → Study design → Test selection → Assumptions → Reporting

📊 Inside the guide you’ll find:

• A simple statistical test decision tree

• Guidance based on your research question and variables

• Independent & paired t-tests

• ANOVA

• Chi-square tests

• Correlation & regression

• Non-parametric alternatives

• Key statistical assumptions to check

• Practical worked examples

• Reporting examples

• Quick-reference tables & final checklist

🎓 Perfect for:

Undergraduate and postgraduate students working on assignments, dissertations, theses and research projects.

Whether you’re using SPSS or another statistical software, this guide helps you understand which test fits your research design before you start the analysis.

📥 Digital PDF | 15 pages | Instant Download

Stop guessing which statistical test to use — follow a clear decision process and start your analysis with confidence.