Introductory Statistics in Human Development

Catalog description

This course will provide a basic introduction to statistics for the purposes of analyzing human development data, including: (1) understanding fundamental concepts of statistics, including central tendency, variability, density curves and normal distributions, relationships between two variables (scatterplots and correlation), sampling distributions of sample means, standard error, significance tests, confidence intervals, effect size, and power, and (2) conducting analyses using one-sample z-test, t-tests, regression, and time permitting, ANOVA.