MATH 223 Applied Statistics and Data Analysis

This course in applied statistics provides a broad and practical overview of the statistical analysis methods used by researchers today to design experiments and collect, summarize, analyze, and draw conclusions from research data. Topics may include binomial distribution, the normal distribution, sampling distributions, confidence intervals, comparison of two independent samples, statistical principles of design, comparison of paired samples, analysis of categorical data, comparing the means of many independent samples, ANOVAs, single and multiple regression, and correlation, as well as parametric and non-parametric data analysis.




MATH 133 or MATH 141


C2, GE