AMS 394: Statistical Laboratory
Designed for students interested in statistics and their applications. Basic statistical techniques including sampling, design, regression, and analysis of variance are introduced. Includes the use of statistical packages such as SAS and R. Students translate realistic research problems into a statistical context and perform the analysis.
Supplementary Textbooks:
- Introductory Statistics with R by Peter Dalgaard, 2nd edition, 2008, Springer
- The Little SAS® Book: A Primer by Lora D. Delwiche and Susan J. Slaughter, 6th edition, 2019, SAS Institute
- Applied Statistics and the SAS® Programming Language by Ronald P. Cody and Jeffrey K. Smith, 5th edition, 2005, Pearson
Learning Outcomes
Upon successful completion of this course, students should be able to:
- Handle basic knowledge and operations about R and SAS.
- Know how to read and operate data in R and SAS.
- Conduct $t$ test and nonparametric test (one-sided, two-sided, one-sample, two-sample) in R and SAS.
- Conduct linear regression and variable selection in R and SAS.
- Conduct ANOVA (one-way and two-way) in R and SAS.
- Conduct $\chi^2$ test in R and SAS.