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Complements and Mutually Exclusive Events

Many probability questions involve “or” and “not”: the chance of drawing a king or a heart, or of not rolling a six. Two simple rules handle these, as long as you watch for outcomes that get counted twice. Venn diagrams make that easy to see.

The complement of event AA, written A′A' (or ∼ ⁣A\sim\!A), is everything in the sample space that is not in AA. Since either AA happens or it doesn’t:

P(A′)=1−P(A)P(A') = 1 - P(A)

The complement is often the easy way to find “at least one” probabilities.

Events are mutually exclusive if they can’t happen at the same time: they share no outcomes. Rolling a 22 and rolling an odd number are mutually exclusive. Drawing a king and drawing a heart are not (the king of hearts is both).

For mutually exclusive events:

P(A or B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B)

When events can overlap, adding P(A)+P(B)P(A) + P(B) counts the overlap twice, so subtract it once:

P(A or B)=P(A)+P(B)−P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)

This works for all events. For mutually exclusive events, P(A and B)=0P(A \text{ and } B) = 0, which gives the simpler rule.

A Venn diagram shows events as overlapping circles inside a rectangle (the sample space). The overlap is ”AA and BB”; both circles together are ”AA or BB”; outside the circles is “neither”.

A Venn diagram for a class of 30. 8 students are in band only, 4 are in both band and choir, 5 are in choir only, and 13 are in neither. Class of 30 8 4 5 Band Choir 13 neither
A class of 3030: 1212 in band, 99 in choir, 44 in both.

Find P(not rolling a 6)P(\text{not rolling a } 6) on one die, and P(at least one head)P(\text{at least one head}) when three coins are flipped.

Solution.

P(not 6)=1−16=56P(\text{not } 6) = 1 - \frac{1}{6} = \frac{5}{6}

“At least one head” is the complement of “no heads” (TTT), which has probability 18\tfrac{1}{8}:

P(at least one head)=1−18=78P(\text{at least one head}) = 1 - \frac{1}{8} = \frac{7}{8}

One card is drawn from a standard deck. Find P(king or queen)P(\text{king or queen}).

Solution. A card can’t be both, so the events are mutually exclusive:

P(king or queen)=452+452=852=213P(\text{king or queen}) = \frac{4}{52} + \frac{4}{52} = \frac{8}{52} = \frac{2}{13}

One card is drawn. Find P(king or heart)P(\text{king or heart}).

Solution. The king of hearts is in both events, so subtract it once:

P(king or heart)=452+1352−152=1652=413P(\text{king or heart}) = \frac{4}{52} + \frac{13}{52} - \frac{1}{52} = \frac{16}{52} = \frac{4}{13}

In the class above, a student is chosen at random. Find P(band or choir)P(\text{band or choir}), P(neither)P(\text{neither}), and P(choir only)P(\text{choir only}).

Solution.

P(band or choir)=12+9−430=1730P(\text{band or choir}) = \frac{12 + 9 - 4}{30} = \frac{17}{30}

(Or add the regions: 8+4+5=178 + 4 + 5 = 17.)

P(neither)=1330,P(choir only)=530=16P(\text{neither}) = \frac{13}{30}, \qquad P(\text{choir only}) = \frac{5}{30} = \frac{1}{6}

Adding probabilities of overlapping events. P(king or heart)P(\text{king or heart}) is not 452+1352\tfrac{4}{52} + \tfrac{13}{52}: that counts the king of hearts twice.

Confusing “mutually exclusive” with “independent”. Mutually exclusive events can’t happen together. Independent events don’t affect each other (see independent events). They’re different ideas.

Putting the total in the “only” region. In a Venn diagram, if 1212 are in band and 44 of them are also in choir, the “band only” region holds 12−4=812 - 4 = 8.

Forgetting the “neither” region. It’s part of the sample space too.

1. (Warm-up) If P(A)=0.35P(A) = 0.35, find P(A′)P(A').

Solution

1−0.35=0.651 - 0.35 = 0.65

2. (Warm-up) Are the events mutually exclusive?

  • (a) rolling a 22; rolling an odd number
  • (b) drawing a red card; drawing a king
  • (c) a student being 1515 years old; the same student being 1616 years old
Solution

(a) Yes. (b) No: the king of hearts and king of diamonds are both. (c) Yes.

3. (Warm-up) AA and BB are mutually exclusive, with P(A)=0.2P(A) = 0.2 and P(B)=0.45P(B) = 0.45. Find P(A or B)P(A \text{ or } B).

Solution

0.2+0.45=0.650.2 + 0.45 = 0.65

4. (Core) A die is rolled. Find P(even or greater than 3)P(\text{even or greater than } 3).

Solution

Even: {2,4,6}\{2, 4, 6\}. Greater than 33: {4,5,6}\{4, 5, 6\}. Both: {4,6}\{4, 6\}.

36+36−26=46=23\frac{3}{6} + \frac{3}{6} - \frac{2}{6} = \frac{4}{6} = \frac{2}{3}

5. (Core) P(A)=0.5P(A) = 0.5, P(B)=0.4P(B) = 0.4, and P(A or B)=0.7P(A \text{ or } B) = 0.7. Find P(A and B)P(A \text{ and } B). Are AA and BB mutually exclusive?

Solution

0.7=0.5+0.4−P(A and B)0.7 = 0.5 + 0.4 - P(A \text{ and } B), so P(A and B)=0.2P(A \text{ and } B) = 0.2. Since that isn’t 00, they’re not mutually exclusive.

6. (Core) In a survey of 5050 students, 2828 play a sport, 2020 play an instrument, and 88 do both. Draw a Venn diagram, then find the probability that a randomly chosen student plays a sport or an instrument, plays neither, and plays a sport only.

Solution

Regions: sport only 2020, both 88, instrument only 1212, neither 50−40=1050 - 40 = 10.

P(sport or instrument)=4050=0.8P(\text{sport or instrument}) = \tfrac{40}{50} = 0.8, P(neither)=1050=0.2P(\text{neither}) = \tfrac{10}{50} = 0.2, P(sport only)=2050=0.4P(\text{sport only}) = \tfrac{20}{50} = 0.4.

7. (Core) Two dice are rolled. Find P(sum is 7 or doubles)P(\text{sum is } 7 \text{ or doubles}).

Solution

No double adds to 77 (it would need 3.5+3.53.5 + 3.5), so the events are mutually exclusive:

636+636=1236=13\frac{6}{36} + \frac{6}{36} = \frac{12}{36} = \frac{1}{3}

8. (Challenge) Two dice are rolled. Find P(sum is 8 or doubles)P(\text{sum is } 8 \text{ or doubles}).

Solution

Sum 88: (2,6),(3,5),(4,4),(5,3),(6,2)(2,6), (3,5), (4,4), (5,3), (6,2), so 55 outcomes. Doubles: 66 outcomes. Both: (4,4)(4,4).

536+636−136=1036=518\frac{5}{36} + \frac{6}{36} - \frac{1}{36} = \frac{10}{36} = \frac{5}{18}

9. (Challenge) Explain why P(A or B)P(A \text{ or } B) can never be more than P(A)+P(B)P(A) + P(B), and when the two are equal.

Solution

P(A or B)=P(A)+P(B)−P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B), and P(A and B)≥0P(A \text{ and } B) \ge 0, so subtracting it can only make the total smaller or leave it the same. They’re equal exactly when P(A and B)=0P(A \text{ and } B) = 0, which means the events are mutually exclusive.