Design, statistical analysis, and decision making in psychological research. Probability, hypothesis-testing, and confidence intervals. Conceptualization, computation, interpretation, and typical applications for exploratory data analysis (including measures of central tendency, variability), t-tests, correlations, bivariate regression, one-way analysis of variance, and chi square. Introduction to computer methods of computation. No credit for students who have completed ADM 430; BIOL 528; ADMN 420; EREC 525; HHS 540; MATH 439; MATH 539; MATH 644; SOC 502. Special fee.
Section Comments: Online course, no campus visits required. If taken online in summer, no special fee is charged.
Equivalent(s): ADM 430, ADMN 420, ADMN 424, BIOL 528, BIOM 528, DS 420, EREC 525, HHS 540, MATH 439, MATH 536, MATH 539, MATH 639, MATH 644, MATH 735, PSYC 402H, RECO 525, RECO 528, SOC 502, SOC 502H
Attributes: Quantitative Reasoning(Disc), Online (no campus visits), EUNH