*** 請注意，本學期實習課訂於週三、五中午，第三週開始上 ***

The goal of this (one-year) course is to teach students the basic concepts of probability and statistics, and its applications in psychology. Topics include random variables and distributions, expectations and variances, sampling distributions, law of large numbers, central limit theorem, hypothesis testing, analysis of variance, covariance and correlation, and linear regression. We will also touch issues of power, confidence interval, multiple comparison, and goodness of fit. Some commonly-used tests, such as the chi-square test, t test, F test, and some non-parametric tests, will be introduced. We will use R for simulation and statistical analysis.

The (mandatory) weekly 實習課 is mainly for R and also for problem solving. It will count 20% of the final grade. There will be two midterms and one final (total 60% of the final grade). Also, there will be some homework assignments (total 20% of the final grade).

There are many resources/books on probability and statistics and R, including some on youtube and some pdf files that can be downloaded from the internet. In this course I will cover some of the chapters from the book “Statistical Methods for Psychology” by David Howell.