Applied Statistics for the Social Sciences


Applied Statistics prepares students to understand and conduct data analysis in any discipline involving scientific research. Descriptive techniques and related concepts include visual display of data, measures of central tendency, and variability. Inferential techniques and related concepts include probability, hypothesis testing, effect size, and confidence intervals. Particular emphasis will be placed on statistical tests in the general linear model (e.g., t-tests, correlation and regression, and ANOVA.) Students will learn to use statistical software including spreadsheets and SPSS. Not open to students who are enrolled in or have earned credits in MATH 130 or 230. Prerequisite: acceptable math placement score or grade of C or higher in MATH 001 or 091. (Equivalent to SOCL 223.) QL