**Statistical Methods I and II**

**AS-AK-SC-HH/PSYC 2020D/H
6.0**

**Fall 2014-Winter 2015**

**Wed/Thu 11:30-2:30 in
Founders 106**

**Instructor **

**Christopher D. Green** (christo@yorku.ca, 286
BSB, ext. 66164)

**Teaching Assistants **

**Arlie Belliveau
**(arlie@yorku.ca, BSB 059)
Office hour: Wed 1-2 pm

**Daniel Lahham** (dlahham@yorku.ca, BSB 059)Office
hour: Wed 10:30-11:30 am

Course Moodle: https://moodle.yorku.ca/moodle/course/view.php?id=36485

**Course Description:**

An introduction to the analysis of data from
psychological studies. Fundamental
concepts and techniques of both descriptive and inferential statistics and their
application to psychological research. Prerequisite or co-requisite:
AK/AS/HH/SC/PSYC 1010 6.00 or AK/HH/PSYC 2410 6.00, with a minimum grade of C
when used as a prerequisite.

**Learning objectives: ** Students are expected to become familiar with
the use of a range of statistical techniques that are commonly used in
psychological research. They should be able to decide, upon receiving a data
set and a research question, the kinds of statistical tests that are relevant
to answering the question. They should be able to accurately compute the
relevant statistical tests, and they should be able to clearly and correctly
interpret the test’s result in ordinary language. In addition, students should
be able to discuss with facility a range of issues pertaining to the proper and
improper use of statistics in psychological research that are covered in the
lectures and/or in the textbook.

**Required Text:**

Howell, D. C. (2012). *Statistical methods for psychology* (8th ed.). Wadsworth.

**Schedule**

10-11
Sept. Introduction &
Arithmetic quiz.

17-18 Sept. Chapters
1-2.5 (basic vocabulary, graphs)

24-25 Sept. Chapter
2.6-end (∑ notation, measures of location and variation)

1-2 Oct.
Chapter 3 (normal
distribution)

8-9 Oct. Chapter
4 (sampling distributions and hypothesis testing)

15-16
Oct. overload/review

**22-23 Oct. First Midterm
test, 2 hrs. (20%)**

29-30 Oct. --------------- *Co-curricular
Days* ------------------

5-6 Nov. Chapter
5 (probability)

12-13 Nov. Chapter
6.1-6.6, 6.8, 6.11 (chi-square)

19-20
Nov. Chapter 7 (hypothesis test
with means: *z*-tests, *t*-tests)

26-27 Nov. overload/review

**3-4 Dec. Fall Term Test, 2 hrs. 50 min
(20%)**

**-------------------------
Winter Break --------------------**

7-8 Jan. Welcome back, review Fall Term Test.

14-15 Jan. Chapter 8 (power)

21-22 Jan. Chapter
9 (correlation and regression)

27 Jan. *------------ Last Day to Drop Course
--------------------*

28-29 Jan. Chapter
10 (alternative correlational techniques)

4-5 Feb. Chapter
11 (simple analysis of variance)

11-12 Feb. overload/review

18-19 Feb. -------------- *Reading
Week* ----------------------------

25-26 Feb. **Second Midterm Test, 2 hrs.**** 50 min. (30%)**

4-5 Mar. Chapter
12 (multiple comparisons in analysis of variance)

11-12 Mar. Chapter
18.6-18.10 (non-parametric tests)

18-19 Mar. Chapter
13.1-13.7 (factorial analysis of variance)

25-26Mar. Chapter
14.1-14.4, 14.7 (repeated measures analysis of variance)

3-4 Apr. overload/review

**Date TBA: Final
Examination, 3 hrs. (30%)**

Final test and
examination results will be converted from numerical marks to letter grades at
the end of the course, according to the standard university plan (e.g.,
90-100=A+, 80-90=A, 75-79=B+, 70-74=B, etc.). For a full description of the
grading system see the York University Undergraduate Calendar: http://calendars.registrar.yorku.ca/2010-2011/academic/index.htm.

**Assignments.**
At the end of each lecture, a selection of problems that appear at the end of
each textbook chapter will be assigned. These are “practice” problems intended
to help students to gain some facility with the statistical procedures that
were the subject of reading and lecture during the previous week. Solutions to the assigned problems will be presented by the
Teaching Assistant, normally at the start of the following class. They
will ** not**
be marked for credit in the course. In order to acquire further statistical
facility, students are

**Examination policy. **All
students are expected to write the three tests and one examination at the times
and places specified. University policy is that the course instructor should be
notified *within*** 24 hours** of missing a test or examination.
Only

**Academic Integrity.**
All students are expected to abide strictly by the university’s policies on
academic integrity. The relevant documents, along with an on-line quiz, can be
found here: http://www.yorku.ca/academicintegrity/students/index.htm.
Although not limited to the following four, any student found (1) looking at
another student’s examination (2) communicating with another student during the
examination, (3) in possession of unauthorized documents (e.g., notes) in the
examination, or (4) receiving unauthorized communications from outside the
examination room will be considered to be in violation of one or more of the
university’s academic integrity policies and appropriate disciplinary steps
will be taken.

**Disability Accommodation. **Appropriate
accommodation will be made in accordance with the policies of the university (http://www.yorku.ca/secretariat/policies/document.php?document=68).
Students should consult with the university’s accommodations office for
relevant documentation.

**Religious Accommodation. **Appropriate
accommodation will be made in accordance with the policies of the university.
Please see the instructor at your earliest opportunity if you discover issues
relating to your religious practices and the expectations of the course.