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Business Mathematics and Basic Statistics · Ch 11 — Introduction to Probability

Mutually Exclusive and Collectively Exhaustive Events

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Mutually Exclusive and Collectively Exhaustive Events

Two or more events are called mutually exclusive if they cannot occur together in a single performance of the experiment — that is, no sample point is common to any two of them. In set notation, events E1E_1 and E2E_2 are mutually exclusive if E1∩E2=∅E_1 \cap E_2 = \emptyset (their intersection is empty).

A collection of events is called collectively exhaustive if, taken all together, they cover EVERY possible outcome of the sample space — their union equals SS itself: E1∪E2∪⋯=SE_1 \cup E_2 \cup \cdots = S.

Worked illustration on a single die roll: let E1=E_1 = "getting an even number" ={2,4,6}= \{2,4,6\} and E2=E_2 = "getting an odd number" ={1,3,5}=\{1,3,5\}.

  • E1∩E2=∅E_1 \cap E_2 = \emptyset (no number is both even and odd) — so E1E_1 and E2E_2 are mutually exclusive.
  • E1∪E2={1,2,3,4,5,6}=SE_1 \cup E_2 = \{1,2,3,4,5,6\} = S (every possible die outcome is either even or odd) — so E1E_1 and E2E_2 are also collectively exhaustive.

These two properties are independent of each other — an event pair can have one without the other:

  • "Drawing a heart" (13 cards) and "drawing a spade" (13 cards) from a deck ARE mutually exclusive (no card is both a heart and a spade), but they are NOT collectively exhaustive — together they account for only 26 of the 52 cards, leaving every diamond and every club uncovered.
  • "Getting a number less than 4" ={1,2,3}=\{1,2,3\} and "getting an even number" ={2,4,6}=\{2,4,6\} on a die are NOT mutually exclusive (they share the sample point {2}\{2\}), even though together they cover {1,2,3,4,6}\{1,2,3,4,6\} — and since 55 is missing, they are not collectively exhaustive either. …
Definition 5Mutually exclusive events

Two or more events that cannot occur simultaneously in a single trial — no sample point is common to any of them, i.e. their pairwise int …

Definition 6Collectively exhaustive events

A set of events whose union covers the ENTIRE sample space SS — every possible outcome belongs to at least one of the events. Independent of mutual exclusivity; ea …