Sample space and events, axioms of probability; Conditional probability, independence and the Bayes Rule; Random variables, discrete probability distribution, continuous probability distribution, joint probability distribution; Mean, variance, covariance and correlation; Some discrete probability distributions: uniform, binomial, hyper geometric, geometric, negative binomial and Poisson; Some continuous probability distributions: normal, exponential, gamma, chi-Squared, lognormal and Weibull; Sampling distributions; Confidence intervals; Hypotheses Testing; Regression and correlation analysis.

CILO-1: An ability to interpret and describe the fundamental theories and principles of probability and statistics. CILO-2: An ability to perform basic calculations for probability and statistical inference. CILO-3: An ability to identify the importance of the usage of probability and statistics. CILO-4: An ability to develop the problem-solving skills and confidence necessary to educate themselves continually throughout their career.