5 Free Cheat Sheets for Quick Statistical References

5 Free Cheat Sheets for Quick Statistical References

Statistics is both an interesting and a challenging subject to master. So even if you’ve learned statistics concepts, it can often be helpful to have cheat sheets for quick reference.

Cheat sheets can especially be helpful when you’re preparing for upcoming exams and interviews or when you need to refresh certain stats concepts before proceeding with statistical analysis. This article is a collection of statistics cheat sheets covering a range of topics from descriptive statistics to hypothesis testing and more.

1. Statistics Cheat Sheet – Stanford University

The Statistics Cheat Sheet from Stanford university is a comprehensive reference that covers all the essential stats concepts. This was originally created by the TA team for the CME 106 – Introduction to Probability and Statistics for Engineers course at Stanford.

The cheat sheet covers topics such as parameter estimation, confidence intervals, hypothesis testing, regression analysis, and correlation analysis. This should be a concise reference with just enough theory and math to refresh what you’ve already learned.

2. Probability Cheat Sheet – Stanford University

Probability and Statistics go hand in hand. A solid foundation in probability is essential to become proficient in stats—from understanding the population you’re working with, effectively sampling from distributions, and more.

Also created for the CME 106 course at Stanford, the Probability Cheat Sheet is a quick reference for introductory concepts in probability and random variables. The topics covered include introduction to probability and combinatorics, conditional probability, random variables, expectation and moments, probability distributions, and joint random variables.

3. Statistics Cheat Sheet – MIT

If you’re looking for a single concise reference to statistics, then the Statistics Cheat Sheet from MIT is for you. This covers basic to intermediate statistics concepts starting from the ground up—from the definition such as population and sample.

You can use this cheat sheet to review basic definitions as well as statistical tests—T-test and Chi-Square test—with simple examples. The cheat sheet also covers the basics of probability and random variables.

4. Descriptive Statistics – DataCamp

If you’ve worked with real-world datasets, you’ve likely used descriptive statistics during exploratory data analysis to understand the data better. The Descriptive Statistics Cheat Sheet from DataCamp is a refresher on basic descriptive statistics when analyzing data.

This cheat sheet covers categorical and numerical data, visualizing categorical data and measures to understand numerical data. Further it also covers correlation between variables and interpretation of correlation scores.

5. Hypothesis Testing Cheat Sheet – University of New Mexico

Hypothesis testing is a super important concept in statistics but it can also be tricky. The Hypothesis Testing Cheat Sheet by the University of New Mexico is a concise reference.

This cheat sheet covers the preliminary concepts you need to know for hypothesis testing. It then covers topics such as steps in significance testing, choosing the right statistical test, and a summary of different statistical tests.

Wrapping Up

I hope you found this collection of quick reference stats cheat sheets helpful. But remember they’re only to refresh essential concepts that you’ve already learned and understood—and not a substitute for dedicated learning.

If you’re interested in university stats courses to level up, 5 Free University Courses to Learn Statistics.

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