Sep 20, 2024
OHIO University Undergraduate Catalog 2024-25
PSY 2112 - Statistics for the Behavioral Sciences II
Introduction to descriptive and inferential statistics with an emphasis on bivariate inferential statistics.This course is part of a two-course sequence (PSY2111 and PSY2112) that is equivalent to PSY2110.
Requisites: PSY 2111 and WARNING: No credit if taken after COMS 3520, MATH 2500, PSY 2110, or QBA 2010 or ANTH 2500/SOC 2500 or ET 2450 or LET 3555 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, words.
- Students will be able to calculate basic probability theory, power analyses, and inferential testing including t-tests, analysis of variance, 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.
- 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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