AMS 394, Statistical Laboratory
Catalog Description: 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.
Prerequisite: AMS 310 or AMS 315
3 credits
SBC: CER, ESI, EXP+
Recommended (Not Required) Textbooks:
"Introductory Statistics with R (Statistics and Computing)" by Peter Delgaard, 2nd
edition, Springer Publishing, 2008 (Paperback); ASIN: B00BR5K43K / ISBN: 978-0-387-79053-4
"Applied Statistics and the SAS Programming Language" by Ronald P. Cody and Jeffrey Smith, 5th edition, Pearson Prentice-Hall, 2006; ISBN: 978-0-13-146532-9
Offered in the summer, fall, and winter semesters
Syllabus
Basics and R environment 2 weeks
Descriptive Statistics and Graphics 1 week
One- and two-sample tests 1 week
Multiple regression 1 1/2 weeks
ANOVA and Kruskal-Wallis test 1 week
Working with Data in SAS 2 week
Nonparametric Tests 1 week
Analysis of Variance 1 week
Work of Course project 2 ½ weeks
Tests 1 week
Learning Outcomes for AMS 394, Statistical Laboratory
1) Demonstrate deeper understanding of basic statistical techniques including sampling, design, regression, and analysis of variance.
2) Demonstrate proficiency using statistical packages SAS and R.
3) Students translate realistic research problems into a statistical context and
perform the analysis. Upon completion of the course, students will 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 (one sided, both sided, one sample, two samples) 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-squared test in R and SAS.