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Fundamentals of Probability (FRM Part 1 2023 – Book 2 – Chapter 1)
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*AnalystPrep is a GARP-Approved Exam Preparation Provider for FRM Exams*
After completing this reading, you should be able to:
- Describe an event and an event space.
- Describe independent events and mutually exclusive events.
- Explain the difference between independent events and conditionally independent events.
- Calculate the probability of an event for a discrete probability function.
- Define and calculate a conditional probability.
- Distinguish between conditional and unconditional probabilities.
- Explain and apply Bayes’ rule.
0:00 Introduction
0:12 Learning Objectives
1:30 Mutually Exclusive Events
3:32 Independent Events
5:40 Conditional Probabilities
9:34 Summary
9:47 A Description of Bayes' Theorem
14:09 Bayes' Theorem - The Simple Case
18:45 Bayes' Theorem - The General Case
19:05 Prior vs. Posterior
20:54 Applying Bayes' Theorem
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