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Psych Stats Spring 2010
Syllabus
Psychological Statistics PSY 3204 Spring 2010
Contact Information:
Instructor:
Michael T. Brannick, Ph.D.
Office:
PCD 4118 E
Email:
mbrannic@luna.cas.usf.edu
Mail Box:
PCD 4118 G
Fax:
(813) 9744617
Voice Mail:
(813) 9740478
Course Information:
Lecture Hall:
PCD 1147
Web Site:
http://luna.cas.usf.edu/~mbrannic
Lecture:
Tu, Th 12:30 – 1:20 p.m.
Lab room:
PCD 2121
Office Hours:
Thurs 11:00 to 11:50
Appointments also available by request
Lab times:
Brannick sections
(you are registered for ONE of these labs).
001 Wednesday
10:45 –
11:35 AM
002 Wednesday
11:50A – 12:40P
003 Wednesday
12:55 –
1:45 PM
004 Wednesday
2:00 –
2:50 PM
Required Text:
Heiman, G. W. (2004).
Essential statistics for the behavioral sciences.
Boston,
MA:
Houghton Mifflin.
Course Description
This course is an introduction to statistics, which includes frequency distributions,
their representation though graphs and numbers, ideas about probability, and
applications of descriptive and inferential statistics.
This course covers such topics
primarily in the context of psychological research.
The idea is to show you basic
statistical principles and their application to problems of general interest.
Course Objectives
Upon successful completion of this course, you should be able to
Descriptive Statistics
1.
Compute and correctly apply measures of central tendency (mean, median,
mode).
2.
Compute and correctly apply measures of variability (range, standard deviation,
variance)
Graphs and Data Interpretation.
3.
Construct and interpret graphs of distributions (boxplot, bar chart, histogram,
scatterplot).
1
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View Full DocumentPsych Stats Spring 2010
4.
Construct and interpret graphs of experimental results (single factor and 2factor
studies).
Problem Solving with the Normal Distribution
5.
Compute and interpret zscores.
6.
Compute probabilities.
7.
Use the normal distribution to solve problems by finding areas under the curve
representing probabilities and rejection regions.
Hypothesis Testing
8.
Correctly apply conventional statistical hypothesis testing (e.g., identify and state
the null and alternate hypotheses for a given study).
9.
Calculate and explain the meaning of tvalues and Fvalues.
10. Calculate and explain the meaning of slope and intercept in regression.
11. Understand the meaning of effect size.
12. Understand the meaning of power in the statistical sense.
Choice and Interpretation of Inferential Statistics
13. Compute and correctly interpret the following inferential statistics, employing
hypothesis testing procedures:
a.
ttest
b.
correlation (Pearson r)
c.
simple linear regression
d.
oneway ANOVA and posthoc tests
e.
twoway ANOVA
f.
Chisquare
14. Given a scenario (story problem), choose an appropriate statistical analysis from
among those covered in the course and complete the analysis.
15. Interpret the results of experiments based on tables of results and other detailed
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 Spring '10
 Brannick

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