Abstract
Statistics is a collection of methods that you can get answers to important questions from EEG signal analysis. In this chapter, we firstly introduced the descriptive statistical methods for presenting the result from the raw data. Furthermore, analysis techniques comprised of parametric strategies like t-test, ANOVA, regression, and nonparametric procedures, such as permutation test, are introduced with their implementation in MATLAB and SPSS. Selecting the right statistical procedures would be important in EEG signal analysis. Finally, we discussed the problem of multiple comparison, which may increase the probability for the researcher to get to false positive conclusion due to the multiple comparison and remains a challenge in statistical method.
Gan Huang
My research interests include Neural Modulation, Brain Computer Interface and Neural Prosthetics.