Neuroscience 384M  / Psychology 384M - Syllabus  
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Instructor: Lawrence K. Cormack

Office: SEA 4.228

Email: cormack@mail.utexas.edu (best way to get in touch with me)

Phone: 471-5380

Office hours: M 1:30pm-2:30pm, W 10-11am, and by appt.  


T. A.:   Kat Snyder

Office:   SEA 4.128F

Email: ksnyder@utexas.edu

Phone: tba

Office hours: 2-5pm, M, and by appt.  


Meeting time: T.,TH. 11am - 12:15 pm

Meeting place: SEA 2.108

Unique numbers: 56710 (NEU) or 43420 (PSY)

Text: Howell, D.C., Statistical Methods for Psychology, 87th (or 7th, or 6th...) Edition  Available on the intergoogles.

Overview::

This course will provide a foundation in data analysis and inferential statistics. The topics covered will include exploratory data analysis, graphing and data visualization, curve fitting, sampling theory, traditional hypothesis testing, and Monte Carlo / Bootstrap methods.

Exams and grading:

There will be three exams, each contributing 25% to the final grade.  Weekly homework assignments will contribute the remaining 25%. Homework will be penalized 2 points for being late (at all), and 2 additional points for each 24 hours that it is late.

The University of Texas at Austin provides upon request appropriate academic accommodations for qualified students with disabilities.  For more information, contact the Office of the Dean of Students at 471-6259, 471-4641 TTY.


Tentative course schedule:
 

Week

Topic

Text Chap.

1

introduction/ data analysis / graphing

1,2

2

data analysis / graphing / curve fitting

2, notes

3

distributions and sampling

3, 4

4

basic hypothesis testing

4, 7

5

hypothesis testing and power

7, 8

6

probability, distributions, chi-square

5, 6

7

correlation and regression

9

8

correlation (cont.), ANOVA

9, 11

9

ANOVA (cont.)

11

10

multiple comparisons

12

11

factorial ANOVA

13, 14

12

multiple regression

15

13

modeling, modern statistical methods

17, notes

14

modeling, modern statistical methods

17, notes