Your health insurance company has converge for three types of medical treatment. The annual cost for each type of treatment can be modeled using Gaussian (Normal) distribution, with the following parameters:
Use Random number generator and simulate 1000 long columns, for
each of the three cases.
Example: for the Treatment 1, use Number of variables=1, Number of
random numbers=1000, Distribution=Normal, Mean=1600 and Standard
deviation=120, and leave random Seed empty.
Next: use either sorting or construct the appropriate histogram or
rule of thumb to answer the questions:
23. What is approximate probability that Treatment 3 has annual cost less than $1150? (4 points)
24. Which of the three treatment is most likely to cost between $1200 and $1300? (4 points)
25. For which of the three treatments we expect that (approximately) 95% of cases will be between $1300 and $1700? (4 points)
23. What is approximate probability that Treatment 3 has annual cost less than $1150? (4 points)
p(X<$1150) =0.23
24. Which of the three treatment is most likely to cost between $1200 and $1300? (4 points)
p(1200<X<1330) for T1=0.005
For T2=0.01
for T3=0.42
Hence treatment3 is most likely to cost between $1200 and $1300
25. For which of the three treatments we expect that (approximately) 95% of cases will be between $1300 and $1700? (4 points)
b. Treatment 2
p(1300<X<1700) for T1=0.79
For T2=0.96
For T3=0.076
Hence Answer is b. Treatment 2
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