PSYC 2021.  Statistical methods I

Department of Psychology
York University

Summer term S1 2017
Tuesday and Thursday, 2:30 - 5:30

Syllabus

General description:  This course covers the fundamental concepts and application of descriptive statistics. It provides an introduction to probability and inferential statistics, including hypothesis testing with the normal and t distributions. It also covers elements of the R programming language, an open-source package for statistical data analysis that you can use on Computing Commons terminals or install for free on your own computer (macOS, Linux, or Windows).


Announcements

• June 26.  Here are all marks to date, including final exam marks and final course grades.

• June 12.  Here are some more difficult, conceptual review questions for the final exam. Be sure to also review the more basic topics covered in the list of topics posted below on June 6.

• June 8.  Here are answers to midterm test 2.

• June 6.  Here is a list of topics that will not be covered on the final exam, as well as a list of key topics to review.

• May 28.  Several people have asked for some more difficult, conceptual review questions in order to practice for the third section ("Problems") on midterm test 2. Here are some problems of that kind.

• May 25.  Here are answers to midterm test 1.

• May 2.  Here is a list of tutors available through the Department of Psychology Resource Centre.

• April 23.  For the tests and exam, you will need a simple calculator with only basic functions (e.g., arithmetic and square roots). You won't need it for the quizzes. Bring a simple calculator, like this, not a scientific calculator, like this.

• April 23.  Use the missed class form if you miss a quiz or test. Provide us with a printed copy of the form with all information filled in.

• April 23.  Here are some suggestions on how to study.


Lecture notes

• Lecture 1a  Introduction    code   
• Lecture 1b  Frequency distributions    code    galton box   
• Lecture 2a  Mean and variance    code    quiz   
• Lecture 2b  The z score    code    quiz   
• Lecture 3a  Probability       quiz   
• Lecture 3b  Sample means   
• Lecture 4a  Hypothesis testing       quiz    slides   
• Lecture 4b  The single sample t test       quiz   
• Lecture 5a  The independent measures t test       quiz   
• Lecture 6a  Correlation       quiz   
• Lecture 6b  The chi-square test       quiz