There exist many statistical techniques useful for research in Brain and Cognitive Sciences. This course covers the most basic and least controversial of these techniques, including z-tests, t-tests, correlation, ANOVA, and a number of non-parametric statistical tests. The goal is to give the student an understanding of the intuitions behind statistical testing, and not merely the mechanics of performing the tests, as well as to cover basics of probability and of good experimental design.
Homework consists of problem solving and practice performing statistical tests. Many of the homework assignments involve some programming in MATLAB®. For a first class in statistics more insights into what the test is doing are gained by having the student do the necessary computations themselves, rather than rely upon statistical packages.
Because of the importance of the homework assignments, they form a substantial proportion of the grade for this class.
Midterm and Final Exam
The exams will focus on concepts, require minimal computation, and will not require a calculator or computer. Students may not have access to the same computational resources during an exam, and this policy is designed to make the exams as fair as possible.
Class attendance is extremely important. If the instructor and TA recognize a student as attending regularly, this will add 5% to the student's grade, which can be enough to raise a student's letter grade.