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Mutually exclusive event

As explained in Statistics Every Programmer Needs

A mutually exclusive event is an event that cannot occur simultaneously with another event in the same set of alternatives.

Mutually exclusive events cannot occur simultaneously within the same set of alternatives. For such events, the probability of either event occurring equals the sum of their individual probabilities: P(A or B) = P(A) + P(B). section 2.2.2 section 2.5

Use the addition rule when:

  • The alternatives cannot happen at the same time, such as rolling either a 4 or a 5 on one six-sided die. section 3.2
  • A choice permits only one option, such as selecting one novel, one manual, or one travel route. section 2.2.2
  • Do not substitute the multiplication rule: it applies to independent events occurring together or sequentially, not mutually exclusive alternatives. section 2.2.2 section 2.5

Rolling a 4 or 5

On one six-sided die, rolling a 4 and rolling a 5 are mutually exclusive. Each probability is 16.7%, so P(4 or 5) = 16.7% + 16.7% = 33%. section 3.2

How Statistics Every Programmer Needs covers it

How deep it goes
Defines simultaneous impossibility, gives the addition formula, and contrasts it with multiplication for independent events.
Examples
Uses die outcomes, alternative reading choices, travel routes, and choosing between a coin flip and die roll.
What it assumes
Assumes basic probability and distinguishes mutually exclusive events from independent events.
What you can do after
Apply the addition rule to calculate probabilities for alternatives that cannot occur simultaneously.
How it connects
Connects mutually exclusive events with the addition rule, independent events, multiplication rule, and probability.

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This explainer was generated by Manning's knowledge graph from the text of Statistics Every Programmer Needs. The section links point to the parts of the book it draws on.