Discrete Random Variables

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Compétences que vous apprendrez

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

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RR

Jun 17, 2017

Amazing course to understand the nature of probability and its applications. Lecture delivery by Karl is fabulous and the efforts put in by Jose is highly appreciable. Hoping for an advance course.

RR

May 17, 2019

Excellent way of teaching. Clear Explanation of the topics with to the point discussion. Diverse applications of probability covered in one course. Definitely helpful in my office / research work.

À partir de la leçon
Discrete Random Variables
In this module we move beyond probabilities and learn about important summary measures such as expected values, variances, and standard deviations. We also learn about the most popular discrete probability distribution, the binomial distribution.

Enseigné par

  • Karl Schmedders

    Karl Schmedders

    Professor of Quantitative Business Administration

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