Notes:Borv

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Definition

Let p\in[0,1]\subseteq\mathbb{R} be given, this represents the probability of success, then we define a random variable (with p as a parameter), X, as follows:

  • X\sim\text{Borv}(p)

Such that:

  • \P{X\eq 1}:\eq p - the probability of a "true" or "successful" outcome is p by definition, and
  • \P{X\eq 0}\eq 1-p - the probability of "false" or a "failed" outcome is 1-p

X is undefined for everything else


Note that:

  • In the definition p always refers to the "active" outcome like pass, and thus 1-p refers to the "passive" or "do nothing" option of failure.
    This is in contrast to the definition of

Test

Notation

Sometimes we use values other than 0