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[4. Continuous RVs] 4.3 The Normal/Gaussian Random Variable
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This series [Probability] closely follows Stanford University's CS 109 (Probability for Computer Scientists), and University of Washington's CSE 312 (Foundations of Computing II) lecture schedule.
The expected prerequisites are college calculus (including some multivariable calculus such as gradients and multiple integrals), and some introduction to proofs and discrete math.
This 5-minute video covers the following topics:
1. Standardizing RVs
2. The Normal/Gaussian Random Variable
3. Closure Properties of the Normal RV
4. The Standard Normal CDF
The expected prerequisites are college calculus (including some multivariable calculus such as gradients and multiple integrals), and some introduction to proofs and discrete math.
This 5-minute video covers the following topics:
1. Standardizing RVs
2. The Normal/Gaussian Random Variable
3. Closure Properties of the Normal RV
4. The Standard Normal CDF
[4. Continuous RVs] 4.3 The Normal/Gaussian Random Variable
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