Discrete Random Variables

video-placeholder
Loading...
View Syllabus

Skills You'll Learn

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

Reviews

4.8 (1,235 ratings)

  • 5 stars
    80%
  • 4 stars
    16.51%
  • 3 stars
    2.34%
  • 2 stars
    0.56%
  • 1 star
    0.56%

FR

May 20, 2020

Filled StarFilled StarFilled StarFilled StarFilled Star

I really enjoyed this course. The explanations are clear and, as suggested by the title, the lecturer uses intuition and daily-life examples rather than abstract and formal definitions and notations.

RR

Jun 16, 2017

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

From the lesson

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.

Taught By

  • Placeholder

    Karl Schmedders

    Professor of Quantitative Business Administration

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.