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.
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.
Published: Jun 14th, 2013
View Lecture Slides with Transcript – Types of Variables – All Parts Part A (4:35) Examples of Variables Definition and Examples of Categorical and Quantitative Variables Part B (3:23) Definitions […]
Published: Jun 13th, 2013
Classifying Types of Variables Software Activity Why Does the Type of Variable Matter? CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, […]
Published: Mar 8th, 2013
For each scenario, identify the variable as either quantitative or categorical. http://phhp-faculty-cantrell.sites.medinfo.ufl.edu/files/2012/12/LBD_12014_186.swf This document is linked from Proportions (Introduction & Step 1).
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, […]
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 […]
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. […]
Published: Aug 4th, 2012
The UCLA Statistical Computing site is an excellent resource for information and examples of using common software packages to analyze data. The following link provides a table which breaks down the appropriate statistical analysis for certain type(s) of variables.