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ChE 383 Lecture 5A. Joint, Marginal and Conditional Probability Distributions
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00:20 Review of the previous cases in which we used more than one event/r.v.:
03:35 Multiple r.v.'s are commonly found in chemical processes.
04:46 Joint probability distribution
05:44 Joint pmf.
08:22 Introduction to marginal distribution.
11:45 Joint pdf.
15:10 A question of joint pmf.
21:28 A more rigorous treatment of marginal pmf and pdf.
- Marginal pmf covered in Lecture 3A (w/o using the term "marginal"):
- Marginal pdf covered previously (w/o using the term "marginal"):
26:08 A question of marginal pmf (comprising an exercise on sigma notation of addition)
37:21 Conditional probability distribution (conditional pmf/pdf).
45:34 Conditional mean and variance.
03:35 Multiple r.v.'s are commonly found in chemical processes.
04:46 Joint probability distribution
05:44 Joint pmf.
08:22 Introduction to marginal distribution.
11:45 Joint pdf.
15:10 A question of joint pmf.
21:28 A more rigorous treatment of marginal pmf and pdf.
- Marginal pmf covered in Lecture 3A (w/o using the term "marginal"):
- Marginal pdf covered previously (w/o using the term "marginal"):
26:08 A question of marginal pmf (comprising an exercise on sigma notation of addition)
37:21 Conditional probability distribution (conditional pmf/pdf).
45:34 Conditional mean and variance.