Id: 008346 Credits Min: 3 Credits Max: 3 Description. Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions ...

Probability, random variable theory and distributions. Normal distribution, sampling concepts and sampling distributions. Estimation significances tests and confidence intervals, one and two-sample ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information..

Random Variables and Probability Distributions. Random Variable: It is a real-valued function that assigns a numerical value to each possible outcome of a random experiment.