Syllabus

Syllabus - Psych Stats Spring 2010 1 Syllabus Psychological...

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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) 974-4617 Voice Mail: (813) 974-0478 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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Psych Stats Spring 2010 4. Construct and interpret graphs of experimental results (single factor and 2-factor studies). Problem Solving with the Normal Distribution 5. Compute and interpret z-scores. 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 t-values and F-values. 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. t-test b. correlation (Pearson r) c. simple linear regression d. one-way ANOVA and post-hoc tests e. two-way ANOVA f. Chi-square 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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Syllabus - Psych Stats Spring 2010 1 Syllabus Psychological...

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