Expected Value

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Destrezas que aprenderás

Bayes' Theorem, Normal Distribution, Probability, Conditional Probability

Revisiones

4.7 (921 calificaciones)
  • 5 stars
    79.15%
  • 4 stars
    16.93%
  • 3 stars
    2.82%
  • 2 stars
    0.65%
  • 1 star
    0.43%
FR

May 21, 2020

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 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.

De la lección
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.

Impartido por:

  • Karl Schmedders

    Karl Schmedders

    Professor of Quantitative Business Administration

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