Overall, the concepts of discrete and continuous probability distributions and the random variables they describe are the underpinnings of probability theory and statistical analysis. Discrete ...

We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data ...

In a discrete uniform distribution, outcomes are discrete and have the same probability. In a continuous uniform distribution, outcomes are continuous and infinite. In a normal distribution ...

Probability of events, discrete and continuous random variables cumulative distribution, moment generatory functions, chi-square distribution, density functions, distributions. Introduction to ...

The second part in the Mathematical Foundations of Computer Science (MFCS) sequence covers mathematical topics of probability, linear algebra ... this course will focus more on the above areas of ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...