Using the inverse transform method...
QUestion 4.2
As we know that probability distribution have probabilities between 0 to 1.
So similarly, cumuative probability distribution is also lies between 0 to 1.
so Here
f(t) = 5/4t-2 ; 1 < t < 5
so cumulative probability distribution .
F(t) = = = -5/4 [t-1 ]t1 = 5/4 (1 - 1/t)
F(t) = 5/4(1- 1/t) ; 1 < t < 5
sso now we know that 0 < F(t) < 1
so if we take
u = 5/4 (1 - 1/t)
4u/5= 1 -1/t
1/t = 1 - 4u/5
1/t = (5 - 4u)/5
t = 5/(5-4u)
So we can get values of t as per the the distribution for any random value generator of values from u ~ (0,1)
I am posting here 25 random numbers
u | t |
0.2567 | 1.2585 |
0.7595 | 2.5483 |
0.4698 | 1.6021 |
0.8554 | 3.1674 |
0.6384 | 2.0437 |
0.0855 | 1.0734 |
0.2969 | 1.3114 |
0.9349 | 3.9666 |
0.7474 | 2.4869 |
0.9571 | 4.2678 |
0.5395 | 1.7594 |
0.4387 | 1.5407 |
0.3423 | 1.3771 |
0.6993 | 2.2700 |
0.9188 | 3.7745 |
0.8764 | 3.3458 |
0.8252 | 2.9422 |
0.8113 | 2.8491 |
0.9088 | 3.6636 |
0.7530 | 2.5150 |
0.6336 | 2.0279 |
0.2468 | 1.2460 |
0.6667 | 2.1431 |
0.5996 | 1.9219 |
0.2476 | 1.2470 |
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