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Dec 09, 2024
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PSY 2111 - Statistics for the Behavioral Sciences I Introduction to descriptive and inferential statistics with a focus on descriptive statistics and an introduction to null hypothesis testing. This course is part of a two-course sequence (PSY2111 and PSY2112) that is equivalent to PSY2110.
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 PSY 2110 or ET 2450 or LET 3555 or ANTH2500/SOC 2500 or GEOG 2710. Credit Hours: 2 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: 2.0 lecture Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I Learning Outcomes: - Students 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 and inferential testing including z-tests and t-tests.
- Students will be able to make and evaluate important statistical assumptions in estimation and in data analysis such as t-tests.
- 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 state statistical conclusions logically and in a priority order.
- Students will be able to systematically and methodically analyze statistical assumptions and carefully evaluate the relevance of contexts when presenting a position.
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