3.00 Credits
Students will learn to use and interpret statistical analysis. Includes descriptive statistics (i.e., frequency distributions, graphs, central tendency, variability), examination of relationship between variables (bivariate regression, correlation), and a discussion of inferential statistics (t-test, ANOVA, chi-square). **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Explain key statistical concepts such as logic of statistical influence, estimation with intervals, and testing for significance. 2. Interpret basic statistics and statistical output correctly, effectively, and in different contexts. 3. Compute basic statistics. 4. Conduct introductory-level data analysis using SPSS. 5. Think critically about data-based claims within and beyond academia. Prerequisites: SOC 1010 AND MATH 1040 (both Grade C or higher). SP