The Statewide Auto Insurance Company developed the following
probability distribution for automobile collision claims paid
during the past year:
PAYMENT ($) |
Probability |
0 |
0.83 |
500 |
0.06 |
1000 |
0.05 |
2000 |
0.02 |
5000 |
0.02 |
8000 |
0.01 |
10000 |
0.01 |
Set up intervals of random numbers that can be used to generate
automobile collision claim payments.
Using the 20 random numbers below (first row first, left to right,
simulate the payments for 20 policyholders.
0.7806 |
0.7370 |
0.2120 |
0.2540 |
0.2673 |
0.4927 |
0.1885 |
0.1530 |
0.6313 |
0.8631 |
0.9220 |
0.7198 |
0.8736 |
0.5875 |
0.5098 |
0.8350 |
0.8048 |
0.9573 |
0.2683 |
0.3605 |
How many claims are paid and what is the total amount paid to the
policyholders?
a. |
5, $4,500 |
|
b. |
4, $4,500 |
|
c. |
3, $4,500 |
|
d. |
5, $3,500 |
|
e. |
4, $3,500 |
The given table is -
and also given 20 random number shown as below table.
we want intervals such that a uniform random number between '0 and 1' will give you each of our ' seven' outcomes with the stated probabilities.
Thus, we need to divide the interval between '0 and 1' proportionally. This is easy to do just by cumulating the proportionalies i.e. Adding them sequentially to determine where each sub interval from ''o'' (the lower bounds of the first interval).
0.83 which gives 0.83 as the upper bounds of the first sub-interval this also serves as the lower bounds of the next sub-interval.
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