Fundamental Statistics


Introduction to R: A Step-by-Step
Approach to the Fundamentals

As a researcher, it’s critical for you to know more than one stat software. And R is a great “backup” program because it’s versatile, flexible, and FREE. R is virtually limitless… once you learn its quirks and ins and outs.…learn more

free webinars

Effect Size Statistics

Effect Size Statistics are all the rage. Journal editors want to see them in every results section. You need them for performing sample size estimates (And editors want those too).…learn more

statistically speaking trainings

Measures of Association: Beyond

Pearson’s Correlation

There are dozens of measures of association. Even just correlations come in many flavors: Pearson, Spearman, biserial, tetrachoric, squared multiple, to name a few.…learn more

Outliers and Influential Points

Outliers. There are as many opinions on what to do about them as there are causes for them.…learn more

Probability Rules and Applications

It turns out that having a good understanding of these rules (as well as actually remembering them) does come in handy when you’re doing data analysis.…learn more

Confidence Intervals

We’ll clear up the ambiguity as to what exactly is a confidence interval and how to interpret them in a table and graph format.…learn more

The Multi-Faceted World of Residuals

We’ll review and compare what residuals are in linear regression, ANOVA, and generalized linear models…learn more

A Primer on Exponents &

Logarithms for the Data Analyst

We’re going to take away that fog of confusion about exponents and logs and how they work. We’ll explain the logic and algebra of logs in plain English. …learn more

Determining Levels of Measurement:

What Lies Beneath the Surface

Knowing the level of measurement of a variable is crucial when working out how to analyze the variable.…learn more

What’s the Best Statistical

Package for You?

You have many choices for software to analyze your data: R, SAS, SPSS, and Stata, among others. They are all quite good, but each has its own unique strengths and weaknesses…learn more

The Fundamentals of Sample Size


We will lay out the seven steps to run an accurate sample size estimate. Some of them are super easy. Others are much harder to do in practice than they look …learn more

Tests of Equivalence and Non-Inferiority

We’ll review the framework of the traditional hypothesis test and compare it to the framework of the equivalence test and its one-sided cousin, the non-inferiority test.…learn more

Statistical Rules of Thumb: Essential

Practices or Urban Myths?

There are many rules of thumb in statistical analysis that make decision making and understanding results much easier…learn more

(Just About) Everything You Need

To Know Before Starting a Survey

This webinar will outline the advantages and disadvantages of the various data collection modes, types of samples available to target your population, how to obtain a representative sample, and how to avoid the pitfalls of bad questionnaire design…learn more

An Overview of Effect Size Statistics

and Why They Are So Important

We will discuss how using effect size statistics will help us avoid the interpretational quagmire created by sample size…learn more

Using Excel to Graph Predicted

Values from Regression Models

We will demonstrate how to calculate predicted means from a linear and a logistic regression model, then graph them…learn more

blog articles

When the Level of Measurement is
Not Obvious

A central concept in statistics is a variable’s level of measurement. It’s so important to everything you do with data that it’s usually taught within the first week in every intro stats class…learn more