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Statistics 3 – ANOVA and Regression

Instructor(s):

Dates:

January 16, 2015 to February 06, 2015 March 13, 2015 to April 03, 2015 May 15, 2015 to June 05, 2015 July 10, 2015 to July 31, 2015 September 11, 2015 to October 02, 2015 November 13, 2015 to December 04, 2015 January 22, 2016 to February 12, 2016 March 18, 2016 to April 15, 2016 May 13, 2016 to June 10, 2016 July 15, 2016 to August 12, 2016 September 09, 2016 to October 07, 2016 November 11, 2016 to December 09, 2016 January 20, 2017 to February 17, 2017 March 17, 2017 to April 14, 2017 May 12, 2017 to June 09, 2017 July 14, 2017 to August 11, 2017 September 08, 2017 to October 06, 2017 November 10, 2017 to December 08, 2017

Thank you for your submission.

Statistics 3 – ANOVA and Regression

Aim of Course:

This online course, "Statistics 3 ANOVA and Regression" provides 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, especially AP Statistics.

Course Program:

WEEK 1:

  • ANOVA


WEEK 2:

  • Simple Regression
  • Multiple Linear Regression
  • Regression Inference
  • Model Assessment


WEEK 3:

  • Assumptions for Regression
  • Interaction
  • Regression for Prediction
  • Multicollinearity


HOMEWORK:

Homework in this course consists of guided data analysis problems using software.

In addition to assigned readings, this course also has practice exercises, short narrated software demos, and supplemental readings available online.

Statistics 3 – ANOVA and Regression

Instructor(s):

Dates:
January 16, 2015 to February 06, 2015 March 13, 2015 to April 03, 2015 May 15, 2015 to June 05, 2015 July 10, 2015 to July 31, 2015 September 11, 2015 to October 02, 2015 November 13, 2015 to December 04, 2015 January 22, 2016 to February 12, 2016 March 18, 2016 to April 15, 2016 May 13, 2016 to June 10, 2016 July 15, 2016 to August 12, 2016 September 09, 2016 to October 07, 2016 November 11, 2016 to December 09, 2016 January 20, 2017 to February 17, 2017 March 17, 2017 to April 14, 2017 May 12, 2017 to June 09, 2017 July 14, 2017 to August 11, 2017 September 08, 2017 to October 06, 2017 November 10, 2017 to December 08, 2017

Course Fee: $399

Do you meet course prerequisites? What about book & software? (Click here to learn more)

Tuition Savings:  When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)

Register Now


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.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

Statistics 3 – ANOVA and Regression

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.

Level:

Introductory/Intermediate

Prerequisite:
These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.

If you are unclear as to whether you have mastered the above requirements, try these placement tests.

Organization of the Course:

This course takes place online at the Institute for 3 weeks. 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.

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, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement: about 15 hours per week, at times of  your choosing.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 3.75 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

There is not a required text purchase for this course. All the course materials will be provided during the course.

If you are interested in purchasing a printed copy of the course text, "Introduction to Statistics and Analysis: A Resampling Perspective," it is due to be published soon. It is possible to pre-order a copy.

Software:

In this course, software is needed for statistical analysis and simple resampling/simulation operations. We recommend one of these 3 options:
  1. Regular Excel (not Excel Starter) and Box Sampler
  2. Regular Excel (not Excel Starter) and Resampling Stats for Excel
  3. StatCrunch
  4. R

Excel: you will need to have some facility with using formulas in Excel. If you don't, please review either this tutorial or this tutorial before the course starts.

Box Sampler: this is a free add-in for Excel, designed as a visual teaching and learning tool for doing resampling simulations. Runs only on Windows.  Installation file is here, documentation here.

Resampling Stats for Excel: this is a commercial add-in for Excel, designed as a practitioner's tool for doing resampling simulations. A free license is available to all course participants, while they are enrolled in the statistics.com sequence of introductory statistics courses. Runs only on Windows. Enrolled students will be given access to a free 1-year trial of Resampling Stats through the software download link on the main Stats course webpage.  You can also visit the Resampling Stats website and download the 1-year trial here.

StatCrunch: this is a very affordable web-based statistical software program, which also has simulation and resampling capabilities. Runs over the web, so can be used with both Windows and Mac. Resampling is not as intuitive as with Box Sampler and Resampling Stats for Excel.  Learn more at www.statcrunch.com.

R: R is a powerful opensource statistical scripting language that is widely recognized as an industry standard.  You will need to have familiarity with R and RStudio prior to taking the Statistics 1, 2 or 3 courses if you choose to use R as your software package.  Comprehensive supplemental materials are available for R users.  You can learn more about R here and RStudio here.


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