OverviewA summary PDF is available in Chapter 7.The target audience is liberal arts students struggling to improve their ...

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 ...

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

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 ...

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, ...

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 ...