Exclusive "Or" Probability

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Jason
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Joined: Sun Dec 21, 2025 8:56 pm

[Exclusive "Or"] means only one "or" choice can happen. It's connected to being mutually exclusive.
\(P(E_{1} \veebar E_{2}\,\,...) =\)

\(P(E_{1}) + P(E_{2})\,\,...\)

Given that

\(P(E) = \dfrac{O_{F}}{O_{T}}\)

\(O_{T} \neq 0\)
Read: The probability of event 1 [exclusive "or"] event 2 [exclusive "or"] "and so on" equals the probability of event 1 added to the probability of event 2 "and so on".

Given that

The probability of an event is the outcomes favored divided by the outcomes total and "outcomes total" cannot equal 0.
:?: What is the chance of unknowingly picking an apple or an orange from a basket containing an apple, orange and banana? (one pick) This is assuming there is only one correct "or" choice.
\(P(E_{1} \veebar E_{2}) = P(E_{1}) + P(E_{2}) .\)

Given that:

\(P(E) = \dfrac{O_{F}}{O_{T}}\)

\(P(apple \veebar orange) = P(apple) + P(orange) .\)



\(P(apple \veebar orange) = \)
:arrow:
\(\dfrac{1}{3} + \dfrac{1}{3} = \dfrac{2}{3}\)
\(= 0.667 = 66.7 \%\)

Given that:

\(P(apple) = \dfrac{apple}{total\,\,fruit} = \dfrac{1}{3}\)

\(P(orange) = \dfrac{orange}{total\,\,fruit} = \dfrac{1}{3}\)
 

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