- Anyone purchasing an insurance policy for a home or automobile:
- Must specify a deductible amount.
- Deductible: the amount of loss the policyholder absorbs before the insurance company begins paying out.
- Suppose a particular company offers:
- Auto deductibles: \100,$500,$1000$.
- Homeowner deductibles: \500,$1000,$2000$.
- Consider randomly selecting someone with both auto and homeowner insurance from this company.
- Let:
- X: the auto policy deductible amount.
- Y: the homeowner policy deductible amount.
- The joint pmf of X and Y is represented in a joint probability table.
y \ p(x, y) | 500 | 1000 | 5000 |
---|
100 | .30 | .05 | 0 |
500 | .15 | .20 | .05 |
1000 | .10 | .10 | .05 |
- According to the joint pmf:
- There are nine possible (X,Y) pairs:
- Examples: (100,500), (100,1000), …, (1000,5000).
- The probability of (100,500) is:
- p(100,500)=P(X=100,Y=500)=0.30.
- General properties of the pmf:
- p(x,y)≥0 for all (x,y) pairs.
- The sum of the nine displayed probabilities equals 1.
- To compute the probability P(X=Y):
- Sum p(x,y) over the pairs where the deductible amounts are identical:
- This includes two (x,y) pairs.
P(X=Y)=p(500,500)+p(1000,1000)=0.15+0.10=0.25
- To find the probability that the auto deductible amount is at least $500:
- Calculate the sum of all probabilities for (x,y) pairs where:
- This corresponds to:
- The sum of probabilities in the bottom two rows of the joint probability table.
P(X≥500)=0.15+0.20+0.05+0.10+0.10+0.05=0.65