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Student must register for lecture and lab
Pass / fail grade only

(Learning Goals:Q;Distribution Reqs:Mathematics,Computing & Logic)

(1) Understand basic concepts of psychological statistics and how it is used to answer questions in psychological research. (2) Summarize numeric data by computing descriptive statistics (e.g., mean, variance) and by creating tables and graphs.(3) Compute various inferential statistics (e.g., t-score). (4) Test hypotheses applying probability theory.(5) Explain the differences among various statistical techniques and identify an appropriate technique for a given set of variables and research questions.(6) Interpret basic statistical results and distinguish between statistical significance and practical significance.(7) Evaluate the validity of conclusions presented in research reports and in the media.(8) Understand and utilize a statistical software package (SPSS for Windows) and Excel for Windows for data organization, display and computation of statistical procedures discussed in the lecture.

*The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

• PIA 101 or GNA 106 or GSS 102