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#### Training Contents

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**Description**

**Content**

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Beautiful Demos 2: Enunciating Statistical Assumptions

Short explanation on classical statistical test assumptions

statistics, study design

Dr. Mark Williamson

Bite-sized Statistics 1: Introduction

Introduction to the series of Bite-sized statistics.

introduction, statistics

Dr. Mark Williamson

Bite-sized Statistics 2: Definitions

Statistical definitions, including variable types, populations, parameters, and data.

statistics, definitions

Dr. Mark Williamson

Running the Statistical Gauntlet in SAS

A series of examples of statistical tests in SAS, aimed to help train researchers in understanding statistical output, graphs, and conclusion.

SAS, statistics, t-test, ANOVA, regression

Dr. Mark Williamson

Statistical Rules to Tape to Your Forehead

Presentation providing helpful and memorable rules for statistical analysis, along with an example in R using shark data

statistics, rules, R

Dr. Mark Williamson

Neat Tricks and Clever Quips 3: The Power of PowerPoint

Short explanation on cropping pictures, formatting graphs, and creating images in PowerPoint

PowerPoint

Dr. Mark Williamson

Beautiful Demos 3: Data that Appear in Pairs

Short explanation on paired and repeated measures data

paired t-test, repeated measures ANOVA, generalized linear mixed model

Dr. Mark Williamson

Bite-sized Statistics 3: Hypothesis Testing

Explanation of hypothesis testing, including summary statistics, equations, and examples.

hypothesis testing, summary statistics, statistics, definitions

Dr. Mark Williamson

Exploring R Packages with a Chipmunk: Introduction

Introduction to the series Exploring R Packages with a Chipmunk. Here, we'll discuss the purpose, organization, and coverage each series issue will include. A short demonstration of an R function to search the list of R package descriptions is also included.

R, Introduction

Dr. Mark Williamson

Exploring R Packages with a Chipmunk: Out of the Gate

Issue 2 of the series Exploring R Packages with a Chipmunk, where we explore the packages ggplot2, dpylr, tidyverse, m61r, rchallenge, and Rcmdr.

R, graphing, functions, GUI

Dr. Mark Williamson