EVSC 5030 Applied Statistics for Environmental Scientists

• 4 Credits
• Day and Time: Tuesday, 5:00 pm - 7:30 pm
• Mechanical Engineering 216
  
• Prerequisites: Introductory course in probability or statistics
• Corequisite: EVSC 5030-101 or -102
• Syllabus
  

DESCRIPTION: A one-semester course designed to provide a firm knowledge of experimental design, hypothesis testing, and the use of statistical methods in data analysis.  The course begins with a review of descriptive statistics, statistical confidence, and the theory of hypothesis testing and proceeds to more advanced topics.  The course covers topics in analysis of variance and regression using both parametric and nonparametric approaches.  A great emphasis is placed on experimental design.  Students are introduced to multivariate analysis (MANOVA, PCA, and DFA) and resampling techinques (jack-knife and bootstrap).

• 0 Credits
• Day and Time: Section 101 Thursday, 5:30 pm - 7:30 pm Wilson 308
  
•                            Section 102 Wednesday 2:00 pm - 4:00 pm Wilson 306
  
• Corequisite: EVSC 5030-100
• Teaching Assitants: Rebecca Yeamans, David Seekell
  

DESCRIPTION: Use of computer laboratories in the analysis of quantitative data.  Students are instructed in how to apply SAS toward the analysis of data sets typical in the environmental sciences.  SAS is one of the most powerful and widely used statistical packages available.