statement proposition
Monotonicity of probability
Statement
Let be a probability space and let be events with . Then . More precisely, .
Remarks
The proof: is the disjoint union of and , so , and . With , monotonicity gives for each event . If implies , then is at least as likely as . For example, "the die shows " is at most as likely as "the die shows an even number".
Explanations
L1 human
A bigger event contains more outcomes, so it cannot be less likely. The chance to draw a heart from a deck is at most the chance to draw a red card, because every heart is red.
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What depends on this
8 nodes use this node, directly or through other nodes.
- Chernoff bound 014PEBGDYF
- Chebyshev's inequality 02HZ1BK3MW
- Markov's inequality 05PWWHYBX5
- Weak law of large numbers 0BFDHF2H7N
- Strong law of large numbers 0DFWHQ839T
- Hoeffding's inequality 0WPDNXGSSN
- Monotonicity of the cumulative distribution function 0XD22PBMWA
- Law of large numbers 0ZVEAYVRC3
Sources
- Web https://en.wikipedia.org/wiki/Probability_axioms, Elementary consequences
What links here
Used by
- Markov's inequality 05PWWHYBX5
- Monotonicity of the cumulative distribution function 0XD22PBMWA