Statistics Webinar Series

This 6-part statistics webinar series is annually presented by the Applied Statistics and Data Science Group.  Slides and descriptions of each session are provided.

Statistics 1: Data Exploration through Descriptive Statistics and Graphics

Exploratory Data Analysis (EDA) is essential for understanding your data and a necessary step prior to any testing or modeling. In this webinar, you will learn how to use insightful graphical and numerical techniques for investigating important aspects of your data such as relationships between variables and unusual observations. 


Statistics II: Statistical Considerations When Planning Your Research Project

This webinar focuses on the first two crucial steps in a statistical investigation:  1) identify a question and 2) collect the right data to answer this question.  


Statistics III: Two Group Comparisons and ANOVA models

In this webinar, you will learn how to gain insight from a random and unbiased data sample of a population.


Statistics IV: Quantitative Covariates and Regression Analysis

Understanding relationships is a key part of the scientific inquiry process.  You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models.  This will also be extended to multiple linear regression for including additional predictor variables.  


Statistics V: Discrete Data - Counts and Proportions

Learn about generalized linear models (GLM) for categorical and count outcomes.  


Statistics VI: Introduction to Mixed Effects Models

This webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data.