# Content Tagged “Explanatory Variable”

Any variable we are using to predict (or explain differences) in the outcome is commonly called an explanatory variable, an independent variable, a predictor variable, or a covariate.

## Role-Type Classification

Published: Sep 4th, 2013

View Lecture Slides with Transcript – Role Type Classification – All Parts Part A (4:49) Part B (4:57) This document is linked from Role-Type Classification.

## Form a Research Question

Published: Aug 17th, 2013

View the Reading on Forming a Research Question (short) This document is linked from Role-Type Classification.

## What is Data?

Published: Jun 13th, 2013

View Lecture Slides with Transcript – What is Data? Video (2:50) This document is linked from What is Data?

## What is Data?

Published: Jun 12th, 2013

What do we really mean by data? Individuals, Observations, or Cases Independent Observations Variables Various Uses of the Term INDEPENDENT in Statistics CO-1: Describe the roles biostatistics serves in the discipline […]

## Did I Get This – Role-Type Classification

Published: Dec 23rd, 2012

In each of the following three problems, you are presented with a brief description of a study involving two variables. Based on the role-type classification of the two variables, […]

## Learn By Doing – Role-Type Classification

Published: Dec 23rd, 2012

Now, you complete the remaining examples, repeated below. 2. How is the number of calories in a hot dog related to (or affected by) the type of hot dog (beef, meat or poultry)? In […]

## Learn By Doing – Role Classification

Published: Dec 23rd, 2012

Now, using the same reasoning, the following exercise will help you to classify the two variables in the remaining examples, repeated below. 2. How is the number of calories in a hot […]

## Role-Type Classification

Published: Aug 21st, 2012

Role of a Variable in a Study Role-Type Classification CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, and interpret the results. […]