Probability function with specification for different range ?

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Discussion Overview

The discussion revolves around the definition and application of probability functions that vary according to different ranges of the variable x. Participants explore how to handle multiple equations for probability density functions (PDFs) and the implications of integrating these functions over specified intervals.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants propose that a probability function can be defined differently across various ranges, suggesting that multiple equations may be necessary depending on the value of x.
  • There is a suggestion that when calculating expectations and variances, one should split the integral according to the intervals defined by the different functions.
  • A question is raised about handling cases where the upper limit of the range approaches a discrete value, particularly when dealing with two functions defined over adjacent intervals.
  • It is mentioned that as long as the PDF is valid, it is acceptable to treat different functions over their respective ranges, but there is a query about the continuity and analyticity of the functions involved.

Areas of Agreement / Disagreement

Participants express varying views on how to approach the integration of probability functions across different ranges, and there is no consensus on the best method to handle discrete limits or the continuity of the functions.

Contextual Notes

Participants discuss the implications of using discrete values as limits in integration and the conditions under which different probability functions can be combined. There are unresolved questions regarding the continuity and analytic nature of the functions across specified ranges.

RufusDawes
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I understand a probability function can be defined according to range ?

So for example,

0>x f(x) = 0

for 0>x>100 f(x) = 1/100

to work out probability it is integration of that function.

So how does it work if for some other range there is a DIFFERENT functions ?

Is it that there will be multiple equations for probability depending on x ?
 
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RufusDawes said:
I understand a probability function can be defined according to range ?

So for example,

0>x f(x) = 0

for 0>x>100 f(x) = 1/100

to work out probability it is integration of that function.

So how does it work if for some other range there is a DIFFERENT functions ?

Is it that there will be multiple equations for probability depending on x ?

Hey RufusDawes.

You do the same thing, but break the integral up into pieces for each appropriate interval.

For expectation, variance etc: same thing: split up the integral according to the intervals and do the integration to get mean, variance, etc.
 
chiro said:
Hey RufusDawes.

You do the same thing, but break the integral up into pieces for each appropriate interval.

For expectation, variance etc: same thing: split up the integral according to the intervals and do the integration to get mean, variance, etc.

So what do I do when the upper limit of the range approaches a discrete value (a whole number) on both ranges.

If there are 2 functions one with a limit 0>x>1 and 1>=x>2 and the other is for x>=2 the integrals of the whole thing should = 1 ?

does that mean that I can use the value of 1 as the upper bit for the first integral as it is so small it won't affect the area ?
 
RufusDawes said:
So what do I do when the upper limit of the range approaches a discrete value (a whole number) on both ranges.

If there are 2 functions one with a limit 0>x>1 and 1>=x>2 and the other is for x>=2 the integrals of the whole thing should = 1 ?

does that mean that I can use the value of 1 as the upper bit for the first integral as it is so small it won't affect the area ?

You treat function 1 in range 1 and function 2 in range 2. As long the PDF is a valid probability density function, then it's ok to do this. Are the functions for 0 > x > 1 and 1 >= x > 2 analytic? In other words can you for each range describe a continuous analytic function?
 

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