In this course, students will learn to use essential statistical concepts and tools to explore and compare data. The course will focus on environmental applications and discuss how to deal with issues such as frequent measures below detection limits as well as data that requires transformations. Students will learn how to identify the appropriate statistical tools to evaluate data sets to answer questions about environmental surveillance and regulatory compliance. Students will also learn about experimental design and strategies to determine the most appropriate design, size and power. The course material is designed to help students evaluate the strength of experimental design and interpretation when reviewing research in the literature and togive them the tools to develop strong experimental design for their own research projects. (3.0 credits: term course delivered in one 12-week semester, 3 hours/week) PREREQUISITE: Graduate students in science and engineering must have a background in mathematics that would be covered in a science or engineering undergraduate degree.
In this course, students will learn to use essential statistical concepts and tools to explore and compare data. The course will focus on environmental applications and discuss how to deal with issues such as frequent measures below detection limits as well as data that requires transformations. Students will learn how to identify the appropriate statistical tools to evaluate data sets to answer questions about environmental surveillance and regulatory compliance. Students will also learn about experimental design and strategies to determine the most appropriate design, size and power. The course material is designed to help students evaluate the strength of experimental design and interpretation when reviewing research in the literature and togive them the tools to develop strong experimental design for their own research projects. (3.0 credits: term course delivered in one 12-week semester, 3 hours/week) PREREQUISITE: Graduate students in science and engineering must have a background in mathematics that would be covered in a science or engineering undergraduate degree.
