Natural Science 0240 - Statistics

Statistics

Fall
2021
1
4.00
Elizabeth Conlisk

10:30AM-11:50AM TU;10:30AM-11:50AM TH

Hampshire College
334021
Cole Science Center 316;Cole Science Center 316
eacNS@hampshire.edu
This course is an introduction to descriptive and inferential statistics with examples drawn primarily from the fields of medicine, public health, and ecology. The approach is applied and hands-on; students are expected to complete two problem sets each week, collect and analyze data as a class, and design and carry out their own examples of each analysis in four review exercises. We cover description, estimation and hypothesis testing (z-scores, t-tests, chi-square, correlation, regression, and analysis of variance). More advanced techniques such as multi-way ANOVA and multiple regression are noted but not covered in detail. We also discuss the role of statistics in causal inference though the emphasis of the course is on practical applications in design and analysis. The course text is The Basic Practice of Statistics by David S. Moore and the primary software is Minitab. There are no prerequisites and students of all levels and abilities are encouraged to enroll. Key Words: Statistics, Research Desgin, Quantitative Analysis

Students should generally expect to spend 6-8 hours a week on work outside of class.

Permission is required for interchange registration during the add/drop period only.