Discrete Random Variables

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Получаемые навыки

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

Рецензии

4.7 (оценок: 1,200)

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MI

9 авг. 2020 г.

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This course has made me fall in love with probability. Highly recommended for anyone who dislikes probability. You will end up loving probability later. Great instructor and quality lecture material.

RR

16 июня 2017 г.

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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.

Из урока

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.

Преподаватели

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    Karl Schmedders

    Professor of Quantitative Business Administration

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