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- ...lar outcome. If the event <math>Z</math> has a [[continuous]] probability distribution, then <math>E(Z) = \int_z P(z)\cdot z\ dz</math>.5 KB (789 words) - 19:56, 10 May 2024
- == Median of a distribution == === Median of a discrete distribution ===2 KB (370 words) - 14:30, 12 November 2023
- Probability distribution is a function that gives the outcome of an event, to their corresponding pr ...ath> or it could be <math>392.057721566490153286060651209008240243</math>. Discrete could be like the number rolled on a dice.964 bytes (141 words) - 10:01, 9 July 2024
- ..._t</math> is a random variable. Here, we assume that we are dealing with a discrete-time Markov chain, which is equivalent to assuming <math>t</math> is an int ...our notation. In reality, <math>\phi(i)</math> is the initial probability distribution usually given by the context.5 KB (896 words) - 21:34, 8 November 2024