What Is the Law of Total Variance and How Is It Derived?

TL;DR
The law of total variance is derived by manipulating conditional variances, applying formulas for expectation within a conditional universe. The derivation confirms that the variance can be expressed as the sum of conditional expectations and their variances, illustrating the relationship between these important concepts in probability theory.
Transcript
We will now go through a derivation of the law of total variance. This particular derivation is not insightful. It will not really give you any intuition as to why the law of total variance is correct. On the other hand, it involves some interesting manipulations that will be useful to be able to follow, and understand the kinds of objects that the... Read More
Key Insights
- 👮 The law of total variance involves manipulating conditional variances and applying formulas.
- ❓ Conditional variances are calculated in a conditional universe, accounting for specific conditions or variables.
- 👮 The law of iterated expectations simplifies calculations by equating the expected value of a conditional expectation with the unconditional expectation.
- 👍 Proving the equality between random variables in different contexts helps establish their identical numerical values.
- 👮 The derivation of the law of total variance helps understand the mathematical manipulations involved, even if it doesn't provide intuitive insights into why it is correct.
- 👮 The law of total variance formula includes terms related to the expected value and variance of a random variable.
- 👮 The derivation shows how to calculate each term in the law of total variance using conditional expectations and variances.
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Summary & Key Takeaways
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The video goes through a step-by-step derivation of the law of total variance, which is not necessarily intuitive but helps understand the mathematical manipulations involved.
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The first step is applying the formula for calculating variances to the conditional variance, which is calculated in a conditional universe.
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The video shows how to calculate the first term in the law of total variance by taking the expectation of a conditional expectation and applies a general property of variances to calculate the second term.
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