Applied Statistics prepares students to understand and conduct data analysis in the social sciences. The emphasis of the course is: 1) understanding concepts of probability and sampling error, 2) interpretation of confidence intervals, and 3) learning to write about statistical results. Topics include descriptive statistics (e.g., central tendency and variability), mean differences (e.g., t-tests, ANOVA), correlation, regression, and meta-analysis. Students will learn to use a variety of software programs to conduct analyses (e.g., Excel, JASP, and SPSS). Prerequisite: acceptable math placement score or grade of C or higher in MATH 001 or 091. (Equivalent to SOCL 223.) QL