The course is designed to train students in a critical area of scientific methodology-analyzing data. Topics include: frequency distributions; central tendency and variability; independent, matched, and repeated measures sample comparisons; simple, factorial, and repeated measures analysis of variance; correlation and regression; nonparametric and binomial analysis; and, analysis of ordinal data. Prerequisites: MAT 102 or higher.
SSC 315: STATS FOR SOCIAL & BEHAVOR SCIENCES
Program
Division
UG
School Division
School of Humanities, Sciences and Technology