FC311 Bristol Workshop
Topics
Joint Probability
Conditional Probability
Independent vs Dependent Events
Worked Examples
Worked Examples
Worked Examples
Law of Total Probability
Worked Examples
Bayes’ Theorem
Worked Examples
Worked Examples
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2.28M

4. Probability II

1. FC311 Bristol Workshop

Lecture: 2 Probability

2. Topics

In this session, we will cover:
– Joint probability
– Conditional Probability
– Difference between Independent vs Dependent Events
– Law of Total Probability
– An introduction to Bayes Theorem

3. Joint Probability

• Joint probability refers to a
statistical measure that
calculates the likelihood of two
events occurring together and at
the same point in time.
• The probability of the intersection
of
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