Tuesday, 6 November 2012

ANOVA and Regression

A good bridge to more advanced statistics courses (for those who have had basic statistics already) is "Statistics 3 - ANOVA and Regression" By Dr. Michelle Everson at statistics.com. This is a 3-week online course.  For more details please visit at http://www.statistics.com/statistics-3/.

Aim of Course:
To provide an easy introduction to ANOVA and multiple linear regression through a series of practical applications. Once you've completed this course you'll be able to correctly analyze studies with a single dependent variable and multiple independent variables. The course provides an introduction to analysis of variance (ANOVA) and multiple regression such as you might find in a year-long or four-credit college course that also included the content of our Introduction to Statistics 1 and 2 courses. This course provides a transition to more advanced or specialized courses and also a broadened perspective for anyone teaching basic statistics.

Who Should Take This Course?
Anyone who needs an introduction to ANOVA or regression, especially those interested in taking regression or more advanced courses at statistics.com.

Course Program:

Course outline: The course is structured as follows

·     ANOVA

·     Simple Regression
·     Multiple Linear Regression
·     Regression Inference
·     Model Assessment

·     Assumptions for Regression
·     Interaction
·     Regression for Prediction
·     Multicollinearity

Dr. Michelle Everson is currently a Senior Lecturer in the Department of Educational Psychology at the University of Minnesota.  Since obtaining her Ph.D. in 2002, Michelle has been teaching introductory and intermediate statistics courses and she also teaches a course called "Becoming a Teacher of Statistics." Michelle is particularly interested in distance education and in ways to actively engage students in online learning environments.

You will be able to ask questions and exchange comments with Dr. Michelle Everson via a private discussion board throughout the course.   The courses take place online at statistics.com in a series of 3 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.

For India Registration and pricing, please visit us at www.india.statistics.com.

For More details contact at
Call: 020 66009116


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