Introductory Statistics

3 credits · School of Nursing

This course explores fundamental knowledge of statistical principles and commonly used univariate and bivariate analyses in health and behavioral sciences. Topics include levels of measurement, descriptive statistics, sampling distribution, parameter estimation, hypothesis testing, t-tests, one-way ANOVA, non-parametric tests, correlation, simple regression, and power and effect size. This course also provides students the opportunity to learn basic data management skills. Assignments provide students with hands-on data analytic experience with relevant statistical software addressing research questions that include health inequities and social determinants of health (SDOH).