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Conditional probabilities

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A conditional probability is the probability that an event occurs, given that another has occurred.

P(A | B) is the same as P(A given B)!

Scenario: Consider the table below detailing Delta Apple Pi's bid breakdown from this year's rush season. Calculate the probability of a recruit receiving a bid given that they wore a hat.

Received bidDid not receive bid
Wore a hat156075
Did not wear a hat25100125
40160200
ClueInsight
We're assessing the probability of an event happening (receiving a bid) given that another event has occurred (wore a hat)....meaning this is a conditional probability.

Conditional Probability = Cell Value / Row or Column Total

Received bid & Wore a hat = 15
Total for Wore a hat = 75

P(Received Bid | Wore a hat) = 15 / 75
P(Received Bid | Wore a hat) = 0.2

Answer: The probability of a recruit receiving a bid given that they wore a hat is 0.2.

Mathematically...

P(A | B) = P(A ∩ B) / P(B)

Received bidDid not receive bid
Wore a hat156075
Did not wear a hat25100125
40160200

Received Bid & Wore a hat = 15
Wore a hat = 75
Grand Total = 200

P(Received bid ∩ Wore a hat) = 15 / 200
P(Received bid ∩ Wore a hat) = 0.075

P(Wore a hat) = 75 / 200
P(Wore a hat) = 0.375

P(Received bid | Wore a hat) = 0.075 / 0.375
P(Received bid | Wore a hat) = 0.2

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