1
PSYC
20901
P
SYCHOLOGICAL
A
PPLICATIONS OF
U
NIVARIATE
S
TATISTICS
I
TR,
23:15
Instructor
........
David Corey
Office
.....................
3061 Percival Stern Hall, Tulane University
Email
.......................
[email protected]
Office
hours
....
By appointment.
Text
.........................
Howell, D. C. (2002).
Statistical Methods for Psychology, 5
th
Edition
. Duxbury – Thomson Learning. ISBN:
053437770X.
T.A.s
..........................
Most of your direct communications will probably be with your lab instructor, who teaches the
laboratory section in which you are enrolled. This list shows which lab instructor teaches the lab
section for which you registered:
T.A.
Email
Laboratory sections
Samantha Francois
[email protected]
3012c; by appointment
41
& 46; M 12n
& M 2p
Kathryn Moore
[email protected]
3015b; Th. 35pm
42 & 45;
T
4p
& F 10a
Annie Weiss
[email protected]
43 & 44; W 12n
& W 4p
D
ESCRIPTION
Scientific studies often produce large quantities of data, which can be made more manageable through judicious use
of
statistical methods.
Scientists also rely on statistics to provide an objective way of deciding how to draw
conclusions from their observations (e.g., which observations are most likely to be seen repeatedly as more scientific
studies are conducted). You will learn about these methods through presentations in lecture and laboratory sections
and by doing statistical analyses yourself.
PSYC209 is an introductorylevel course in applied statistics in which you will learn about statistical procedures
commonly used by scientists studying the behavior of highlyvariable systems such as people, animals, and plants.
This is not a mathematical statistics course, and no advanced mathematical techniques will be taught.
However, you
will routinely need to understand and use algebra and you will need to understand how to interpret a probability. If
you can not use algebra or you do not understand what is meant by “probability,” you should consider a
preparatory mathematics course or a private tutor.
OBJECTIVES
By the end of this semester the successful student will have an understanding of research study design and will be
able to do the following:
¾
Choose the analysis appropriate to a given data set and research question
¾
Know the assumptions about data that are carried by the analysis
¾
Run the analysis both by hand and by computer
¾
Run any “analysis of variance” using regression methods
¾
Understand and interpret the results of the analyses
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G
RADING
Final grades will be determined using the percentage scale shown below.
A
A
B+
B
B
C+
C
C
D+
D
D
93.0
89.7
86.4
83.1
79.8
76.5
73.2
69.9
66.6
63.3
60.0
Points will be distributed as follows:
Lab Assignments .
.............
15%
Lab Attendance.
................
5%
Exam 1 .
..............................
20%
Exam 2.
.............................
20%
Exam 3.
.............................
20%
Exam 4 (cumulative).
......
20%
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 Fall '06
 Corey
 Statistics, Normal Distribution, Variance, ........, ANOVA ANOVA

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