Discrete Random Variables

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Получаемые навыки

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

Рецензии

4.7 (оценок: 912)
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  • 1 star
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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.

AA

May 25, 2018

The course explains probability and normal distribution concepts in a way it is easier to follow. And makes it further easier using usual excel function. Very well taught course! A big thank you!!

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

  • Karl Schmedders

    Karl Schmedders

    Professor of Quantitative Business Administration

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