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.
One month course, Mary Dereshiwsky, instructor
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 

Question MarkAbout online learning

Online learning is a fun, enjoyable and very productive way to learn. Millions of people are learning online each year. You will engage with the instructor and other participants. You will get to know your instructor and other participants. You may make friends.  It’s easy. It’s fun. 

GearsHow the Course Works

It is easy to participate in your online course. After you register, you will be given a web address to go to get into your online classroom.  You will have a password and use your email address and password to gain access.

Once inside the online classroom, here’s what you can expect.

CalendarParticipate when you want

You can participate any time of day or evening. The online classroom is open 24 hours a day, 7 days a week.
There are no live real-time requirements or meetings. You decide when you participate.
For the best learning, participants should log into the course on 2-3 different days of the week.

ChecklistWhat you will do

For each Unit, you will:

  • Read the print readings (about 20 pages a week)
  • Have the option of accessing the online readings
  • Listen to the audio presentation for the Unit and view the slides
  • Have the option of taking a self-quiz to see how much you have learned
  • Engage in written online discussion with your instructor and other participants

For best learning, you should make one or more comments at 2-3 different times each week.
The content (readings, audio lectures, slides) and self quizzes are accessible for the entire course, so you can work ahead, or go back and review again, at your convenience.


The Discussion for each Unit lasts one week. All comments are made in writing and can be made at any time of the day or night.

Your instructor will log into the Discussion area at least once a day and answer questions, make comments, and respond to comments by you and the other participants.

We encourage you to make 2-3 comments each week to maximize your learning and enjoyment of the course.

It’s easy. It’s fun.

Next offering(s):

Advanced Data Analysis
June 2 - 27
August 5 - 29
November 3 - 28

Intermediate Data Analysis
May 5 - 30
July 7 - August 1
October 6 - 31

Introduction to Data Analysis
June 2 - 27
September 2 - 26

Add Certificate To Cart

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.
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