2009 Fall PSY 117-01L

Bulletin Course Description
Introduction to statistical methods commonly used in psychological research. Topics in applied statistical methods including: measures of central tendency and variability; probability and distributions; confidence intervals and hypothesis testing; t-test and analysis of variance; correlation and regression; and chi-square tests. Calculate and interpret statistics with reference to data and research questions typical in psychological research. Includes a lab section with instruction in the management and analysis of psychological data using statistical software designed for use in social science research. Required for the major. Instructor: Hoyle
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)

Title APPL STAT METHODS IN PSY
Department PSY
Course Number2009 Fall 117
Section Number 01L
Primary Instructor Feng,Gang
Prerequisites


Synopsis of course content
This course is designed to provide psychology majors an introduction to statistical methods commonly used in quantitative psychological science. The focus in the first half of the course will be foundational principles of statistical methods. In the second half of the course, the focus will shift to the use of specific statistics and statistical tests for description and hypothesis testing. During weekly lab meetings, teaching assistants will review homework assignments that involve problem solving using calculators and statistical software. The lab meetings also will be used to provide basic training in the use of statistical software commonly used by psychological scientists for data management and analysis. Students who successfully complete the course will be prepared for subsequent courses in the major that involve reading primary research reports and for practicum and independent study experiences with psychology faculty.
Textbooks
Aron, A., Aron, E. N., & Coups, E. J. (2009). Statistics for psychology (5th ed.). Upper Saddle River, NJ: Pearson Education.
Assignments
Weekly homework assignments, sometimes involving the use of statistical software.
Grade to be based on
Completion of homework assignment and performance on exams.



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