# Fundamental Statistics

## workshops

#### 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

#### 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

#### 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

#### 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

#### 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

#### Calculations

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

#### Practices or Urban Myths?

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

#### 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

#### 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

#### 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