Probability of all runners finishing within 100 minutes

  • Thread starter Thread starter Addez123
  • Start date Start date
  • Tags Tags
    Probability
Addez123
Messages
199
Reaction score
21
Homework Statement
The time it takes for a runner to make a lap is a stocastic variable X (in minutes) with density function
$$fx(x) = (125 - x)/450, 95 \leq x \leq 125 $$
Their times are independent of eachother.

What's the probability that all 8 runners finish within 100 minutes?
Relevant Equations
$$Fx(x) = \int fx(x) dx $$
$$Fx(x) = 125/450 * x - x^2/900$$
The chance of everyone finishing should be
$$Fx(100)^8 = (100 * 125/450 - 100^2/900)^8 = (50/3)^8$$

What am I doing wrong?
 
Last edited:
Physics news on Phys.org
It seems you have just taken an arbitrary primitive function for Fx. You need to give a better argument for the value of the integration constant that you have put to zero.
 
  • Like
Likes Addez123
There's no legit reasoning to get a constant.
The density function goes to zero at 125, it doesn't mean everyone have made the lap within 125 minutes.
Just like the density function starts at 30/450 = 0.06 doesn't mean 6% makes it under 95 minutes. The density function outside these bounderies could be anything, its not defined anywhere.
 
Addez123 said:
There's no legit reasoning to get a constant.
This is simply false. You need to think more about what the requirements on the cdf are.

Addez123 said:
Just like the density function starts at 30/450 = 0.06 doesn't mean 6% makes it under 95 minutes.
Of course not, the pdf is the pdf and the cdf is the cdf.
 
Addez123 said:
The density function goes to zero at 125, it doesn't mean everyone have made the lap within 125 minutes.
This is also false by the way. The pdf is defined to be non-zero only for ##95 < x <125##. Obviously, this means that everybody makes it within 125 minutes because the probability of any given runner not making it within 125 minutes is zero.
 
Your calculation of Fx(x) is wrong. The density function, fx(x) is zero for x<95. Therefore, your calculation of Fx(x) must start at x=95. (The integral of fx(x) from 95 to 125 is 1, as it must be.)
 
  • Wow
Likes Addez123
It's true that the density function sums up to 1 over that integral. Idk why I thought it didn't.
But given that, now I'm trying to find C.

You get different answer depending on your approach.
Fx(125) = 1 => C = -625/36
Fx(95) = 0 => C = -589/36

Shouldn't it give the same value if indeed what was missing was a constant?
 
I should have been more clear. The probability of x between 95 and 125 is 1, so Fx(125)-Fx(95) = 1.
You want Prob( x<100 ) = Fx(100)-Fx(95). Then raise that to the eighth power.
 
Last edited:
Yes that's correct answer. But I still don't understand how I can get different values for C?
 
  • #10
Addez123 said:
Yes that's correct answer. But I still don't understand how I can get different values for C?
You are not calculating Fx correctly. You are not taking into account that fx is zero below 95. If you do it correctly, the constant from Fx(95) =0 is C=0 and the constant from Fx(125)= 1 is also C=0.
 

Similar threads

Back
Top