This course is designed for students who have successfully completed AP Statistics and are currently taking or have completed calculus.

This is a second level course in advanced methods of statistical analysis of data for scientific and medical research, business, engineering, and economics. Students further their studies in techniques of data collection, real data analysis, applications using exponential, Gamma, Weibull, lognormal and Poisson distributions, writing hypotheses and conclusions, multiple regression, nonlinear regression, transformations to normalize data, one-way and two-way analysis of variance (ANOVA), Chi-Squared tests, nonparametric statistics, econometrics, modern product improvement techniques, and acceptance sampling. Students see many applications of the techniques used in real life data sets, work on projects, interpretation of computer output, and instruction in using R and JMP software to empower scientists and engineers to explore data visually. Students will learn how to use statistics to analyze and draw conclusions from research data. This is a calculus-based statistics course.

Special Note: A TI-84+ graphing calculator is required.