Discrete Random Variables

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Получаемые навыки

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

Рецензии

4.7 (оценок: 685)
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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.

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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