About Course
Decision Making Under Uncertainty I
Most of us studied probability and statistics in high school, college, or as part of our MBA program. We understand the fundamental concepts and may even apply them to our judgments and decisions regularly! What most of us aren’t aware of, however, are the numerous ways in which we might be de-railed when employing principles from Probability and Statistics to make decisions! The various blunders that are frequently made, as well as the numerous misunderstandings that we have. Sampling and statistics are used to assess probability and dangers.
The human brain isn’t equipped to understand probability or statistics intuitively. According to brain researchers, mathematical truths make little intuitive sense to our minds, particularly when dealing with random and non-random outcomes, or when dealing with vast amounts of data. As a result, we unconsciously and instinctively make several mistakes while analyzing risks and opportunities.
This Decision Making Under Uncertainty course will assist you in learning about, and attempting to avoid and reduce, such errors and misunderstandings. It will be beneficial to everyone, but notably to leaders and managers, whose different judgments and decisions have the potential to affect a large number of people, companies, and countries!
Who should take this Decision Making Under Uncertainty course:
Leaders and managers who wish to avoid making mistakes in statistics and probability when making choices.
Management Students, as well as anyone else who wants to use Probability and Statistics more precisely and successfully, can benefit from this book.
Anyone who wishes to ensure that when utilizing Probability and Statistics, they don’t fall into the numerous misconceptions and misleading dangers for leaders and managers who want to avoid making mistakes in statistics and probability when making choices.
Management Students, as well as anyone else who wants to use Probability and Statistics more precisely and successfully, should read this book.
Anyone who wishes to ensure that when utilizing Probability and Statistics, they don’t fall into the various misconceptions and misleading dangers
Jon now to Decision Making Under Uncertainty course
Course Content
Introduction – Decision Making Under Uncertainty
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Tutorial – How to Install Octave and using Octave
08:43 -
Background and relevance
14:48 -
Examples of managing uncertainty and making decisions
00:00 -
Risk, uncertainty and variability
00:00 -
Probability: Events, Conditioning and Total Probability
00:00 -
Discrete random variables
00:00 -
Continuous random variables: characterisitcs and examples
00:00 -
Expected Value: Mean, Variance and Functions
00:00 -
Multiple Random Variables: Discrete and Continuous
00:00 -
Criteria, Objectives and Settings for Decisions
00:00 -
Introduction to one-time decisions
00:00 -
Solving the secretary problem
00:00 -
Which option to gamble just once?
00:00 -
Utility Function
00:00 -
Nested one-time decisions
00:00 -
Decision Trees
00:00 -
Decisions in Game Shows: Final Jeopardy
00:00 -
Decisions in Game Shows: Monte Hall
00:00