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. This course introduces students to the fundamental concepts of statistics and provides skills that can be applied as students use evidence-based research in various disciplines. Students will learn to use technology to analyze and visualize data, and how to use statistics to analyze and draw conclusions regarding research data. Topics include research and statistics related to descriptive and inferential statistics.

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. It is a calculus-based statistics course. 

Advanced data analysis is offered as a dual credit course with CCU.

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

Course Number	0889
Grade Level	11,12
Pre-Requisite	Earned a score of 3 or higher on the AP Statistics exam and earned a Grade of C or higher in AP Statistics. Completion of calculus or concurrent enrollment.
Application and/or Audition Date	None
Credits	10
VCHS Graduation Credit	Mathematics
UC Approval	Yes Area C (Mathematics)*
Fees	None