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Many of your business decisions involve comparing groups for differences. For example, would men and women prefer different product features? In addition, you may look at relationships between variables. Does product recognition relate to subsequent product purchase? This Intermediate Data Analysis course will introduce you to the statistics behind these group differences and relationships. In addition, you’ll learn how to work with ratings, graphs and user-friendly reports of statistical results.
 
Mary Dereshiwsky, instructor

Agenda
 
Unit 1
Looking for Differences between Groups
-Two separate groups
-Two related groups
-Three or more groups

Unit 2
Looking for Relationships
-Pairs of variables
-Clusters of variables
-Predicting one variable from one or more variables

Unit 3
Looking at Ratings
-Tests of difference using ratings
-Tests of relationship using ratings
 
Unit 4
Looking at How to Report the Results
-Visual displays
-How to draft the narrative
-How to engage your audience 
Next offering(s):

Self Study: Advanced Data Analysis
-Next session coming soon-

Self Study: Intermediate Data Analysis
-Next session coming soon-

Self Study: Introduction to Data Analysis
-Next session coming soon-

$495.0000 USD
$195 USD

Ave. hours 16; 1.6 CEUs/ILUs


About Your Instructor


 

Mary I. Dereshiwsky, Ph.D., COI, is a Professor of Educational Leadership and Research at Northern Arizona University in Flagstaff, Arizona.  Mary has been developing and teaching online courses in research methods and statistics since 1994. She holds a doctorate in Business Administration from the University of Massachusetts at Amherst.

What some students say:

“The hands on experience made this class a true success.” -Sean Duffy, Cincinnati, OH

“Very helpful in today's professional world. Thank you!” –Amy Rebecca Carpenter, Huntsville, AL


Directional ArrowsCourse Objectives
 
--To provide understanding of two-group comparisons
--To provide understanding of comparing more than two groups
--To provide understanding of working with rating data
--To provide understanding of relationships or associations among variables
--To provide understanding of interpreting visual displays of differences and relationships
--To provide understanding of drafting written explanations of statistical results
 
Puzzle PiecesCourse Outcomes
 
At the end of this course, you will:
 
--be able to compare two or more groups for differences
--be able to understand relationships among variables
--be able to work with rating data such as from rating surveys
--be able to interpret visual displays of these differences and relationships
--be able to generate user-friendly, understandable explanations of the results
Completion Requirements