# PSYC 2021. Statistical methods I

**Department of Psychology**

York University

Summer term S1 2017

Tuesday and Thursday, 2:30 - 5:30

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
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• 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 |