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Introduction to Statistics 3 - ANOVA and Multiple Regression

Dr. Michelle Everson

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 I and II courses. This course provides a transition to more advanced or specialized courses and also a broadened perspective for anyone teaching basic statistics, especially AP 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:

The course is structured as follows

SESSION 1: Comparing more than two means
  • Introduction to Analysis of Variance (ANOVA)
  • Completely randomized designs
  • Checking ANOVA assumptions
  • The problem of multiple comparisons
SESSION 2: Two independent variables for ANOVA or regression
  • The randomized block design
  • Interaction in ANOVA
  • Regression with two independent variables
SESSION 3: Multiple regression
  • Inference for regression
  • Binary (yes/no) variables
  • Regression diagnostics
  • Building the best model

The Instructor:

Dr. Michelle Everson teaches and develops online courses in the Educational Psychology Dept. at the University of Minnesota. She has written in Teaching Statistics on the implementation of educational reform in the standard college introductory statistics course; her research is in the area of text comprehension.

Organization of the Course:

The course takes place over the internet, at statistics.com. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. The course is scheduled to take place over 3 weeks, and typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 3.75 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

Dec. 4 - Dec. 25, 2009
Feb. 5 - Feb. 26, 2010
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

introductory/intermediate

Prerequisite:

The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners).

Course Text:

The course text is Stats: Data and Models, by De Veaux, Velleman and Bock, with ActivStats CD. You must purchase it directly from the publisher here (if you buy it elsewhere, it may not come with a valid copy of ActivStats).

Addison Wesley/Pearson offers a 15% discount on this book (and all other statistics titles): enter the code STATSMPS in the Promotion Code field when prompted during checkout and click the Apply Discount button. Questions about US orders use this phone number (800-947-7700) to contact Pearson.

Special note for Canadian customers: If you are located in Canada, place your order on myPearsonStore.ca site. Unfortunately, the publisher does not currently extend this discount to Canada (you might try requesting this from the publisher's Canadian office directly). The offer for free shipping applies only to orders shipping within the US. The US website will not let you choose "Canada" as a ship-to country.

Please order your text in time to have it in hand by the course starting date!

Software:

Students should have access to a software package that can perform basic statistical analysis. A variety of affordable options are available--Click here for our general advice about the suitability of various popular software packages.

Registration:

Register Online - $349
Register Online (academic) - $279 (you must be affiliated with a college, university or high school)

Note: See our Introduction to Statistics course packages to save money on Introduction to Statistics for Beginners, Introduction to Statistics 1, Introduction to Statistics 2, Introduction to Statistics 3.

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Note: Courses may fill up at any time and registrations are processed in the order in which they are received. When a course is marked "full" above your registration will be applied to the next available course date.