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Joint probability

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Page 1: Joint probability

JOINT PROBABILITY

Page 2: Joint probability

Joint Probability

is the likelihood of more than one event occurring at the same

time.

Page 3: Joint probability

Two types of Joint Probability

• Mutually Exclusive Events (without common outcomes)

• Non-Mutually Exclusive Events (with common outcomes)

Page 4: Joint probability

Mutually Exclusive EventsExamples:• Turning left and turning right are Mutually

Exclusive (you can't do both at the same time)• Tossing a coin: Heads and Tails are Mutually

Exclusive (can't happen at the same time)• Cards: Kings and Aces are Mutually Exclusive

(can’t be both)

Page 5: Joint probability

Aces and Kings are Mutually Exclusive (can't be both)

Page 6: Joint probability

When two events (call them "A" and "B") are Mutually Exclusive it is impossible for

them to happen together:

P(A and B) = 0

"The probability of A and B together equals 0 (impossible)"

Page 7: Joint probability

But the probability of A or B is the sum of the individual probabilities:

P(A or B) = P(A) + P(B)

"The probability of A or B equals the probability of A plus the

probability of B"

Page 8: Joint probability

Example: A Deck of CardsIn a Deck of 52 Cards:• the probability of a King is 1/13,

soP(King)=1/13

• the probability of an Ace is also 1/13, so

P(Ace)=1/13

Page 9: Joint probability

When we combine those two Events:• The probability of a card being a

King and an Ace is 0 (Impossible)• The probability of a card being a

King or an Ace is (1/13) + (1/13) = 2/13

Page 10: Joint probability

Which is written like this:

•P(King and Ace) = 0•P(King or Ace) = (1/13)

+ (1/13) = 2/13

Page 11: Joint probability

Special Notation

• Instead of "and" you will often see the symbol ∩ (which is the "Intersection" symbol used in Venn Diagrams)• Instead of "or" you will often see the

symbol ∪ (the "Union" symbol)

Page 12: Joint probability

RememberingTo help you remember, think:

• "Or has more ... than And"• Also ∪ is like a cup which holds more than ∩

Page 13: Joint probability

Non Mutually Exclusive Events• Example: Hearts and Kings

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• Hearts and Kings together is only the King of Hearts:

• Hearts or Kings is:all the Hearts (13 of them)all the Kings (4 of them)

But that counts the King of Hearts twice!

Page 15: Joint probability

So we correct our answer, by subtracting the extra "and" part:

16 Cards = 13 Hearts + 4 Kings − the 1 extra King of Hearts

Page 16: Joint probability

Formula:• P(A or B) = P(A) + P(B) − P(A and B)

"The probability of A or B equals the probability of A plus the probability of

B minus the probability of A and B"

• Here is the same formula, but using ∪ and ∩:

P(A B) = P(A) + P(B) − P(A ∩ B)∪

Page 17: Joint probability

Summary:• Mutually ExclusiveA and B together is impossible:

P(A and B) = 0A or B is the sum of A and B:

P(A or B) = P(A) + P(B)• Non-Mutually ExclusiveA or B is the sum of A and B minus A and B:

P(A or B) = P(A) + P(B) − P(A and B)