statement theorem
Law of total probability
Statement
Let be a probability space. Let be a finite or countable family of pairwise disjoint events with and for each . Then for each event ,
Remarks
The events form a partition of into events of positive probability. The proof uses , countable additivity and the multiplication rule. The case of two events and is the law of total probability for an event and its complement. Example: urn has red balls of and urn has red balls of . Choose an urn with a fair coin and draw one ball. The ball is red with probability .
Explanations
L1 human
Split the world into cases that do not overlap. The chance of is the average of its chances in the cases, weighted by the chances of the cases.
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What depends on this
12 nodes use this node, directly or through other nodes.
- Prior probability 00NBBSXRQS
- Chapman–Kolmogorov equation 01APZ8GDQH
- Law of total variance 03BY5XTNA4
- Law of total expectation 04RRB6HM00
- Base rate fallacy 0E44JMG6NV
- Bayesian inference 0JWRJX2RMP
- Posterior probability 0KJ7ZS8AJA
- Bayes' theorem 0NM6E9VW04
- Monty Hall problem 0PBWWQD9KY
- Law of total probability for an event and its complement 0W62TKMW7V
- Gambler's ruin 0WFMKK7DFZ
- Absorbing Markov chain 0YB93GWTKK
Sources
What links here
Used by
- Chapman–Kolmogorov equation 01APZ8GDQH
- Law of total expectation 04RRB6HM00
- Bayes' theorem 0NM6E9VW04
- Law of total probability for an event and its complement 0W62TKMW7V
- Gambler's ruin 0WFMKK7DFZ