Statistics & Probability · Grade 10

Events, Venn Diagrams and the Addition Rule

Quick answer

An event is a set of outcomes, so events combine the way sets do: "A and B" is the overlap, "A or B" is everything in either, and "not A" is everything else. Adding the probabilities of A and B counts the overlap twice, which is why the addition rule subtracts it once. When two events cannot happen together there is no overlap, and the rule simplifies to plain addition.

What you'll learn

  • Describe events as subsets of a sample space using and, or and not
  • Represent events with a Venn diagram
  • Apply the addition rule and recognize mutually exclusive events

Events are sets of outcomes

The sample space is the set of every possible outcome. An event is any collection of those outcomes.

Draw one card from a standard deck of 5252.

EventOutcomes in itCount
a heartthe 1313 hearts1313
a kingthe 44 kings44
a red cardhearts and diamonds2626

Because events are sets, they combine the way sets do. Three words carry the whole vocabulary:

WordSet nameSymbolContains
andintersectionA∩BA \cap Boutcomes in both events
orunionA∪BA \cup Boutcomes in either event, or both
notcomplementAcA^c or A‾\overline{A}outcomes not in the event

“A heart and a king” is a single card, the king of hearts. “A heart or a king” is 1616 cards, which the next sections explain.

Picturing events with a Venn diagram

Two overlapping events in a Venn diagram Two overlapping circles. The left circle is event A, centered at (4, 5) with radius 3, and the right circle is event B, centered at (6.5, 5) with radius 3. The lens-shaped region where they overlap is shaded: the outcomes in both A and B. 246810246810xy
Two overlapping events in a Venn diagram

The left circle holds event AA and the right circle event BB. The shaded overlap is A∩BA \cap B. Everything inside either circle is A∪BA \cup B, and everything outside both is the complement of A∪BA \cup B.

RegionEvent
the shaded overlapAA and BB
inside either circleAA or BB
outside a circlenot that event

The complement

An outcome is either in an event or not in it, never both and never neither. So the two probabilities fill the whole sample space:

P(not A)=1−P(A)P(\text{not } A) = 1 - P(A)

The complement is often the faster route. “At least one six in four rolls” has many cases; “no sixes in four rolls” has one.

P(at least one six)=1−(56)4≈1−0.482=0.518P(\text{at least one six}) = 1 - \left(\frac{5}{6}\right)^4 \approx 1 - 0.482 = 0.518

Why the addition rule subtracts the overlap

Try to find P(heart or king)P(\text{heart or king}) by adding:

P(heart)+P(king)=1352+452=1752P(\text{heart}) + P(\text{king}) = \frac{13}{52} + \frac{4}{52} = \frac{17}{52}

That is one card too many. The king of hearts is a heart and a king, so it was counted once among the hearts and again among the kings.

Subtract it once, and every card is counted exactly one time:

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

In general:

P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

The overlap is added twice by the first two terms, so the third term removes one copy. In the Venn diagram, the shaded lens sits inside both circles — exactly the region counted twice.

Mutually exclusive events

Two events are mutually exclusive when they cannot happen together. Their circles do not overlap, so P(A∩B)=0P(A \cap B) = 0 and the rule becomes plain addition:

P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B)
Events on one cardMutually exclusive?Why
a heart, a spadeyesno card is both suits
a heart, a kingnothe king of hearts is both
a face card, an aceyesan ace is not a face card

Check for an overlap before adding. Plain addition is only safe once you know there is nothing to subtract.

Reading the rule from a table

A survey of 200200 students asks whether they play a sport and whether they are in the band.

BandNo bandTotal
Sport181842426060
No sport3232108108140140
Total5050150150200200
P(sport or band)=60200+50200−18200=92200=0.46P(\text{sport or band}) = \frac{60}{200} + \frac{50}{200} - \frac{18}{200} = \frac{92}{200} = 0.46

A check straight from the table agrees. The students in neither activity are the 108108 in the bottom-right cell, so the rest, 200−108=92200 - 108 = 92, are in at least one.

Worked examples

Common mistakes

Practice problems

  1. How many cards in a standard deck are a spade and a queen?

    Answer

    11

    Full solution

    Only the queen of spades is both.

  2. P(A)=0.3P(A) = 0.3. Find P(not A)P(\text{not } A).

    Answer

    0.70.7

    Full solution

    1−0.3=0.71 - 0.3 = 0.7.

  3. Are “rolling an even number” and “rolling a 3” mutually exclusive on one die?

    Answer

    Yes

    Full solution

    33 is odd, so no roll is both.

  4. Are “drawing a club” and “drawing an ace” mutually exclusive?

    Answer

    No

    Full solution

    The ace of clubs is both.

  5. Find P(club or ace)P(\text{club or ace}) for one card.

    Answer

    1652=413\tfrac{16}{52} = \tfrac{4}{13}

    Full solution

    1352+452−152=1652\tfrac{13}{52} + \tfrac{4}{52} - \tfrac{1}{52} = \tfrac{16}{52}.

  6. P(A)=0.45P(A) = 0.45, P(B)=0.30P(B) = 0.30, and AA and BB are mutually exclusive. Find P(A or B)P(A \text{ or } B).

    Answer

    0.750.75

    Full solution

    No overlap, so add: 0.45+0.30=0.750.45 + 0.30 = 0.75.

  7. Using the sport and band table, find P(no sport and no band)P(\text{no sport and no band}).

    Answer

    0.540.54

    Full solution

    108200=0.54\tfrac{108}{200} = 0.54.

  8. P(A)=0.6P(A) = 0.6, P(B)=0.5P(B) = 0.5 and P(A and B)=0.3P(A \text{ and } B) = 0.3. Find P(A or B)P(A \text{ or } B) and P(neither)P(\text{neither}).

    Hint

    “Neither” is the complement of “A or B”.

    Answer

    P(A or B)=0.8P(A \text{ or } B) = 0.8; P(neither)=0.2P(\text{neither}) = 0.2

    Full solution

    Addition rule: 0.6+0.5−0.3=0.80.6 + 0.5 - 0.3 = 0.8.

    Neither event happening is everything outside A∪BA \cup B: 1−0.8=0.21 - 0.8 = 0.2.

  9. A die is rolled 44 times. Find the probability of at least one 11.

    Answer

    About 0.5180.518

    Full solution

    The complement is “no 11 in four rolls”, with probability (56)4≈0.482\left(\tfrac{5}{6}\right)^4 \approx 0.482.

    So P(at least one 1)≈1−0.482=0.518P(\text{at least one } 1) \approx 1 - 0.482 = 0.518.

  10. For one card, Noah says P(diamond or face card)=1352+1252=2552P(\text{diamond or face card}) = \tfrac{13}{52} + \tfrac{12}{52} = \tfrac{25}{52}. Find his error.

    Hint

    Are any cards both a diamond and a face card?

    Answer

    He counted the three diamond face cards twice. The answer is 2252\tfrac{22}{52}.

    Full solution

    The jack, queen and king of diamonds are diamonds and face cards. Noah’s sum includes them once in the 1313 diamonds and again in the 1212 face cards.

    The addition rule removes that overlap once:

    1352+1252−352=2252=1126\tfrac{13}{52} + \tfrac{12}{52} - \tfrac{3}{52} = \tfrac{22}{52} = \tfrac{11}{26}.

    Counting directly confirms it: 1313 diamonds plus the 99 face cards that are not diamonds makes 2222 cards.

Frequently asked questions

What is the addition rule?

P(A or B) = P(A) + P(B) − P(A and B). The last term removes the outcomes counted twice.

Why subtract P(A and B)?

Outcomes in both events are included once in P(A) and again in P(B). Subtracting the overlap once leaves each outcome counted exactly one time.

What does mutually exclusive mean?

The two events cannot happen at the same time, so P(A and B) = 0 and P(A or B) = P(A) + P(B).

What is the complement of an event?

Every outcome not in the event. Its probability is 1 minus the probability of the event.

Does or include both?

Yes. In probability, A or B means A, B, or both — the inclusive or.

What to learn next

Standards alignment

This lesson covers the following Common Core State Standards for Mathematics.

  • CCSS.MATH.CONTENT.HSS.CP.A.1Conditional Probability and the Rules of ProbabilityDescribe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events ("or," "and," "not").
  • CCSS.MATH.CONTENT.HSS.CP.B.7Conditional Probability and the Rules of ProbabilityApply the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), and interpret the answer in terms of the model.