This course aims to study typical statistical problems and concepts based on random variables and induced samples, including how to properly collect data, perform point and interval estimation, conduct hypothesis testing and make decisions. The course covers basic properties of random variable(s) and sample(s), principles and methods of data reduction and maximum likelihood, point and interval estimation, hypothesis testing, large sample inference, Bayesian statistics and statistical decision theory, parametric and nonparametric methods and so on.