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May 25, 2026
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PSY 5110 - Statistics for the Behavioral Sciences Introduction to descriptive and inferential statistics with emphasis on inferential statistics. No credit for both 2110 and any of the following: MATH 2500, QBA 2010, COMS 3520, ISE 3200, ET 2450.
Requisites: Credit Hours: 4 Repeat/Retake Information: May not be retaken. Lecture/Lab Hours: 4.0 lecture Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I Learning Outcomes: - Students will be able to explain key concepts and methods of inquiry in elementary statistics for the behavioral and social sciences including descriptive, inferential, parametric, and non-parametric statistics.
- Students will be able to analyze basic probability theory, power analyses, and inferential testing including z-tests, t-tests, analysis of variance, correlation and regression, and chi-square.
- Students will be able to evaluate statistical information encountered in everyday life.
- Students will be able to convert relevant information into various statistical forms such as graphs, equations, tables, and words.
- Students will be able to formulate hypotheses and apply appropriate statistical procedures to draw appropriate conclusions while recognizing the limits of the analysis.
- Students will be able to calculate basic statistical analyses with the aid of a computer software program such as SPSS.
- Students will be able to express quantitative evidence in support of an argument or purpose of work that is in a thoughtful, logical order.
- Students will be able to critically state, describe and consider a statistical issue or problem.
- Students will be able to systematically and methodically analyze statistical assumptions and carefully evaluate the relevance of contexts when presenting a position.
- Students will be able to state statistical conclusions logically and in a priority order.
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