Your insurance company has converged for three types of cars. The annual cost for each type of cars can be modeled using Gaussian (Normal) distribution, with the following parameters: (Discussions allowed!)
Car type 1 Mean=$520 and Standard Deviation=$110
Car type 2 Mean=$720 and Standard Deviation=$170
Car type 3 Mean=$470 and Standard Deviation=$80
Use Random number generator and simulate 1000 long columns, for each of the three cases. Example: for the Car type 1, use Number of variables=1, Number of random numbers=1000, Distribution=Normal, Mean=520 and Standard deviation=110, and leave random Seed empty.
Next: use either sorting to construct the appropriate histogram or rule of thumb to answer the questions:
13. What is approximate probability that Car Type 1 has annual cost less than $550?
a. Between 10% and 13%
b. Between 23% and 29%
c. Between 55% and 70%
d. None of these
14. Which of the three types of cars is most likely to cost more than $1000?
a. Type 1
b. Type 2
c. Type 3
15. For which of the three types we have the highest average cost?
a. Type 1
b. Type 2
c. Type 3
13. The probability that Car Type 1 has annual cost less than $550
c. Between 55% and 70%
14. For CAR TYPE 1
CAR TYPE 2
CAR TYPE 3
c. Type 2 is most likely to cost more than $1000
15.
b. Type 2
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