2. Let BuysBeer be a random variable with values 0 and 1 for false and true, respectively, and let Customer Type be a random variable with values single, couple, and family. The joint probability distribution for BuysBeer and Customer Type is given by:

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2. Let BuysBeer be a random variable with values 0 and 1 for false and
true, respectively, and let Customer Type be a random variable with
values single, couple, and family. The joint probability distribution for
BuysBeer and Customer Type is given by:
Transcribed Image Text:2. Let BuysBeer be a random variable with values 0 and 1 for false and true, respectively, and let Customer Type be a random variable with values single, couple, and family. The joint probability distribution for BuysBeer and Customer Type is given by:
BuysBeer = 1 BuysBeer =0
0.30
CustomerType = single
Customer Type = couple 0.14
Customer Type = family 0.10
0.02
0.32
0.12
Compute the following probabilities:
1. P(BuysBeer = 1)
2. P(CustomerType = couple)
3. P(CustomerType = couple, BuysBeer = 1)
%3D
4. P(CustomerType = couple | BuysBeer = 1)
Transcribed Image Text:BuysBeer = 1 BuysBeer =0 0.30 CustomerType = single Customer Type = couple 0.14 Customer Type = family 0.10 0.02 0.32 0.12 Compute the following probabilities: 1. P(BuysBeer = 1) 2. P(CustomerType = couple) 3. P(CustomerType = couple, BuysBeer = 1) %3D 4. P(CustomerType = couple | BuysBeer = 1)
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