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Nov 24, 2024
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PSY 2110 - 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 or LET 3555.
Requisites: (PSY 1110 or MATH 1060 or MATH 1200 or MATH 1500 or ET 2400 or Math placement level 2 or higher) and WARNING: not COMS 3520 or MATH 2500 or QBA 2010 or ISE 3200 or ET 2450 or LET 3555.
Credit Hours: 4
OHIO BRICKS Arch: Constructed World
General Education Code (students who entered prior to Fall 2021-22): 1M
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 4.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
College Credit Plus: Level 1
Learning Outcomes: - Sudents will be able to explain statistical information presented in mathematical forms such as graphs, diagrams, tables, words.
- Students will be able to convert relevant information into various statistical forms such as graphs, equations, tables, and words.
- Students will be able to calculate 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 make and evaluate important statistical assumptions in estimation and in data analysis such as t-tests, analysis of variance, and chi-square test.
- 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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