Statistics for Practitioners (EDPE 575 )

McGill University ~ Education Faculty ~ Winter 2019 Semester (online course)

Instructors: Sam Bruzzese & TBD

Format: Online via Zoom platform ---> https://www.zoom.us/ & MyCourses

Office Hours: TBD first class

Teaching Assistants: TBD

Course Website: http://bit.ly/edpe575 Course Blogs: http://edpe575.mn.co (goes live on Dec. 15th)

Course hashtag: #edpe575 My Twitter: @sam_bruzzese

Email: sam.bruzzese@mcgill.ca My Website: http://sbruzzese.org

If you have any questions please contact me via email or Twitter or via text message on Mighty Networks

Course Objectives:

By the end of this course, students will be able to:

  • Explain how research methods and statistics affect your professional domain
  • Differentiate between descriptive and inferential statistics
  • Identify and calculate the basic statistical
  • Select and apply appropriate statistical techniques and tools
  • Describe the rationale and procedure for statistical analyses
  • Critically read and interpret the basic results of statistical studies

Course Description:

The purpose of this course is to provide students with the basic tools and techniques needed to conduct, analyze, and interpret statistics in order to make informed decisions.

The course content is divided into three main sections.

  1. The first section focuses on descriptive statistics including definitions and terminology, understanding experimental design, organizing and presenting data, and calculating measures of central tendency, variability, and position.
  2. The following section presents the concept of probability, covering such topics as probability theory, methods of counting, calculating simple and compound events, probability distributions, conditional probabilities, and the normal distribution.
  3. The last section of the course explores inferential statistics including the rationale and procedure to conduct hypothesis tests. Students will use learn to use sample data to make decisions about a given population (with large and small data sets), deal with dependent means and independent means testing, and will be introduced to the Analysis of Variance (ANOVA) technique. Lastly, students will explore linear relationships between variables and predict outcomes using correlation and regression analysis.

Online Course:

This course will be taught online during the Winter '19 semester.

There will be a weekly check in component (via ZOOM online ~ approximately 1 hr.) You will be given a choice of picking a 1 hr. session from 3 different available times.

We may have a couple of face to face meetings at McGill. We will decide this during our first online session.

More details to follow in late Fall.

Required Texts:

Statistics for the Behavioural Sciences (2017,10th ed.)

Cheapest price is direct from Nelson/Cengage: https://login.nelsonbrain.com/cb/entitlement.htm?code=MTPQ-811P-KSXD

$99

The 6 month fee includes access to the textbook, all online tutorials and support materials.

You may buy a hard copy of the book but way more expensive. A few will be available @ The Paragraph bookstore corner McGill Ave. / Sherbrooke streets

Here's is Amazon Canada Link with info on the textbook

I've included a couple of screenshots from the Cengage web site below. Be sure you purchase the Digital Platform. It's 99.00 (Canadian):

https://login.nelsonbrain.com/cb/entitlement.htm?code=MTPQ-811P-KSXD

The second screenshot gives you detailed instructions with links on paying and setting up the course materials.

Here are the detailed instructions on purchasing and accessing the course textbook:

How to access your MindTap course.pdf