This course covers the fundamental concepts for probability and statistics. In the first part of the course, the focus is on concepts including random variables, probability distributions, specific discrete and continuous distributions and their applications, expected values and conditional probability. This is followed by a review of the central limit theorem and the law of large numbers. After these fundamental topics are covered, the focus shifts to statistics and the use of statistics principles in different contexts. Topics such as sampling distributions, point and interval estimates, confidence intervals, hypothesis testing, parametric and non-parametric tests, analysis of variance and linear regression are presented. (Knowledge of Calculus is recommended)