The meaningfulness item on math probability

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Discussion Overview

The discussion revolves around the concept of "meaningfulness" in mathematical probability, particularly how certain probability values may be considered meaningful or meaningless depending on context. Participants explore the implications of boundary conditions in probability calculations and the interpretation of probability ratios in various scenarios.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that there should be a boundary probability number that defines "meaningfulness" for specific cases, suggesting that values outside this boundary are meaningless.
  • Others argue that probabilities greater than 1 or less than 0 are inherently meaningless.
  • A participant questions the definition of "meaningful," asking if it pertains to excluding outliers or rare events from consideration.
  • There is a discussion about the interpretation of probability ratios, with one participant stating that in some cases, the calculated probability does not reflect the actual situation, suggesting a discrepancy between theoretical and practical outcomes.
  • Several participants express confusion regarding the original question and the terminology used, indicating a lack of clarity in the discussion.
  • One participant provides an example involving a fair coin toss and proposes a boundary condition for the ratio of heads, attempting to clarify the concept of meaningfulness in probability.
  • Another participant asserts that if calculations are done correctly, the derived probability should be considered definitive, challenging the notion of alternative "absolute" answers.
  • Concerns are raised about the implications of incorrect probability calculations leading to unnormalized probability density functions.

Areas of Agreement / Disagreement

Participants generally do not reach a consensus on the definition of "meaningfulness" in probability or the validity of alternative probability values. Multiple competing views remain, and the discussion is marked by confusion and a lack of clarity in communication.

Contextual Notes

Some participants express difficulty understanding the original question, suggesting that language barriers or unclear phrasing may hinder effective communication. There are unresolved assumptions regarding the nature of probability calculations and their interpretations.

boby
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TL;DR
All probability numbers that calculated , depending on the subject ,have a boundary of meaningfulness,...
Hello,
In probability math,because of math's nature that is merely quantitative and not
a qualitative, for any case,it give you just a number; so, I think for every cases,
there should be a boundary probability number that is " meaningfulness " just
for that specified case and out of that boundary is not meaningful and that is just
a meaningless number.

Thanks,
 
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boby said:
Summary:: All probability numbers that calculated , depending on the subject ,have a boundary of meaningfulness,...

Hello,
In probability math,because of math's nature that is merely quantitative and not
a qualitative, for any case,it give you just a number; so, I think for every cases,
there should be a boundary probability number that is " meaningfulness " just
for that specified case and out of that boundary is not meaningful and that is just
a meaningless number.

Thanks,

I think this is getting more at statistics than probability theory.
 
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boby said:
Summary:: All probability numbers that calculated , depending on the subject ,have a boundary of meaningfulness,...

Hello,
In probability math,because of math's nature that is merely quantitative and not
a qualitative, for any case,it give you just a number; so, I think for every cases,
there should be a boundary probability number that is " meaningfulness " just
for that specified case and out of that boundary is not meaningful and that is just
a meaningless number.

Thanks,
Yes. Probabilities greater than 1 or less than 0 are not meaningful.
 
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We are left to guess at what you mean by "meaningful". Do you want to exclude outliers in a sample of data? Do you want to exclude rare events, no matter how significant they may be if they do happen? I agree that really surprising data points should be examined closely to see if something went wrong in the experiment or if they are things that are valid, but you hadn't thought of them before. Please describe what you mean.
 
Dale said:
Yes. Probabilities greater than 1 or less than 0 are not meaningful.
I mean that there are many cases in which, when we calculate and get a probability ratio number like that; P(A),but
in real for Pa(A) less than P(A),the absolute and certain answer is Pa(A) .
 
boby said:
I mean that there are many cases in which, when we calculate and get a probability ratio number like that; P(A),but
in real for Pa(A) less than P(A),the absolute and certain answer is Pa(A) .
What does "Pa(A) less than P(A)" mean?
 
boby said:
I mean that there are many cases in which, when we calculate and get a probability ratio number like that; P(A),but
in real for Pa(A) less than P(A),the absolute and certain answer is Pa(A) .
I am not sure I understand what you are saying. It sounds like maybe you think probabilities should have a lower threshold. But that would make the probability density function unnormalized.

Could you be more descriptive and explicit? Perhaps with a concrete example.
 
Last edited:
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Partly for difficulties with the English language and possibly for other reasons, I am not able to understand what question is being asked.
 
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I meant that ; sometimes we get a probability ratio of for example of : 1/ 5 ∧ 23 from a calculation
but,in fact,a number of; 1/ 5 ∧ 8 for that is perfectly the absolute answer.
 
  • #10
boby said:
I meant that ; sometimes we get a probability ratio of for example of : 1/ 5 ∧ 23 from a calculation
but,in fact,a number of; 1/ 5 ∧ 8 for that is perfectly the absolute answer.
Can you give a specific example? Say you have five driferent cards and you draw one, then put it back, shuffle, repeat twenty three times. The probability to get the same card is (1/5)^23. What is wrong with this answer and what is "prefectly the absolute answer"?
 
  • #11
boby said:
I meant that ; sometimes we get a probability ratio of for example of : 1/ 5 ∧ 23 from a calculation
but,in fact,a number of; 1/ 5 ∧ 8 for that is perfectly the absolute answer.
This is incorrect. It will lead to unnormalized probability density functions.
 
  • #12
I am not learned about probability (at all), but here would be my interpretation of the question.

Let's try to think about something like a fair coin toss. However, we could add something like a 'boundary condition' saying that when we run a trial run of coin toss then in the "running average" the ratio of heads (divided by total no. of trials) can't drop below 0.3 for example.

So if we run the trial 100 times and get 30 heads and 70 tails. Then before we even run the next trail we know that a head will occur because otherwise the ratio drops below 0.3

Perhaps this might be something closer to what OP was saying ... just a guess.
 
  • #13
boby said:
I meant that ; sometimes we get a probability ratio of for example of : 1/ 5 ∧ 23 from a calculation
but,in fact,a number of; 1/ 5 ∧ 8 for that is perfectly the absolute answer.
If the calculation was done correctly, and the assumptions are correct, then there is no other "in fact" answer.

EXAMPLE: Suppose there is a jar with 5 balls, labeled A, B, C , D, E. You randomly (blindly) select one ball from the jar and replace it, 23 times. The probability of getting all A's is 1/5 ^ 23. There is no other answer.

That being said, there certainly are errors that can be made in a calculation of probability. A calculated probability of 1/5^23 might be wrong, where 1/5^8 is correct. Is there a particular situation that you are worried about?
 
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  • #14
All the above answers are very significant but ;
As you know that we faced to a few cases(events),in our real life daily,that their occurrences are inevitable
but their math probabilities are still get you numbers that show uncertains!
 
  • #15
We are now on post 15 and I still don’t have any idea what you are talking about. This thread is closed.

If you post anything else please make a sincere effort to be clear in your description of the question and when you respond please do so by quoting the person you are responding to and directly addressing their post. Also, please review the forum rules, including the rules on proper grammar.
 

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