This book combines theoretical and practical applications and takes project managers through the most important quantitative methods, integrates them, and illustrates interrelationships.

Statistical models based on Gaussian random variables occupy a central position in modern data analysis, offering a mathematically tractable framework for inference, prediction and dimensionality ...

A bundle is a package of resources grouped together to teach a particular topic, or a series of lessons, in one place. Lesson powerpoints and worksheets on 1) Measures of average and spread 2) PMCC ...

Introduction to probability theory and its applications. Axioms of probability, distributions, discrete and continuous random variables, conditional and joint distributions, correlation, limit laws, ...

A random variable is a mathematical function that maps outcomes of random experiments to numbers. It can be thought of as the numeric result of operating a non-deterministic mechanism or performing a ...

This course builds a rigorous foundation of probability. Topics covered include: basic concepts of probability theory and statistics, counting, axioms of probability, independence, Bayes rule, ...