In: Statistics and Probability
Your insurance company has coverage for three types of cars. The annual cost for each type of car can be modeled using Gaussian (Normal) distribution, with the following parameters:
Use the 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 an annual cost less than $350?
14. Which of the three types of cars is least likely to cost less than $350?
15. For which of the three types we expect that (approximately) 95% of cases will be between $300 and $740?