Change of Axiom of Probability

In summary: However, if you want to calculate the probability of getting a six on a die, you first need to determine the probability of each face value. This is done by counting the number of times each face value appears. In this case, the probability of getting a six is 1/6, so the probability of a die with a six on it is 6/100. However, you can't just multiply the number of trials by the probability of the outcome to get the expected number of sixes. The expected number of sixes is 6x1/6=3.6. In summary, the reference book I have used stating that: Axiom 1 stating that 0<=P(E)
  • #1
jack1234
133
0
The reference book I have used stating that:
Axiom 1 stating that 0<=P(E)<=1
Axiom 2 stating that P(S)=1
Axiom 3, the probability of union of mutually exclusive events is equal to the summation probability of of each of the events.

And the author says that, hopefully, the reader will agree that the axioms are natural and in accordance with our intuitive concept of probability as related to chance and randomness.

But what if axiom 1 and axiom 2 is changed to
Axiom 1 stating that 0.5<=P(E)<=1.5
Axiom 2 stating that P(S)=1.5
(Axiom 3 no change)

or

Axiom 1 stating that 1.1<=P(E)<=2
Axiom 2 stating that P(S)=2
(Axiom 3 no change)

and rebuild the probability model base on the new axiom? Will there be any problem in this new probability model?

If not can I say that the original Axiom 1 and Axiom 2 is just taking some reference value so everybody on the Earth can follow it?
 
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  • #2
No there is nothing wrong with that-and there is no real difference. If, in the first case, you subtract 0.5 from "your" probability, you get "regular" probability. In case two, since 2- 1.1= .9, you would have to divide by .9 after substracting 1.1 in order to get "regular" probability. The reason for the (mathematically arbitrary) choice of 0 and 1 is to relate it to the common idea of a probability as a percentage: Probability of 1.0 corresponds, in common parlance, to "100% certain".
 
  • #3
However, as an addition to Halls' comment, addition and multiplication rules for your new probabilities would be rather more tricky than using 0 and 1 as your limits.
 
  • #4
For example, let 0<=p(E)<=1, whereas a<=P(E)<=b, so that [tex]P(E)=a+(b-a)*p(E)[/tex]
Now, for disjoint events u and v, we have:
p(u+v)=p(u)+p(v).

But in P-notation, we would have:
P(u+v)=a+(b-a)*p(u+v)=P(u)+P(v)-a

This is an unnice addition rule..
 
  • #5
jack1234 said:
But what if axiom 1 and axiom 2 is changed to
Axiom 1 stating that 0.5<=P(E)<=1.5
Axiom 2 stating that P(S)=1.5
(Axiom 3 no change)

or

Axiom 1 stating that 1.1<=P(E)<=2
Axiom 2 stating that P(S)=2
(Axiom 3 no change)

and rebuild the probability model base on the new axiom? Will there be any problem in this new probability model?

If not can I say that the original Axiom 1 and Axiom 2 is just taking some reference value so everybody on the Earth can follow it?

You can effectively 'shift' the numbers for the range, but you'll basically end up doing everything by shifting the numbers back to the [0,1] range in order to do any kind of operation, so it makes little sense to try to shift things that way.

This may be statistics rather than probability, but if you start trying to apply probability, it rapidly becomes clear that the 0 and 1 are natural notions for the limits. For example, if you want to calculate the expected number of heads in 100 coin flips, sixes in 100 die rolls, or 0s in 100 spins of a Roulette wheel with the 0 and 1 probability, you can simply multiply the number of trials by the probability.
 

FAQ: Change of Axiom of Probability

What is a "Change of Axiom of Probability?"

A "Change of Axiom of Probability" refers to a modification or adjustment made to the principles or assumptions that form the basis of probability theory. This can occur when new information is discovered or when there is a need to refine or expand existing theories.

Why might the Axiom of Probability need to be changed?

The Axiom of Probability may need to be changed when new evidence is found that challenges or contradicts the existing principles. It may also be necessary to adjust the axiom to better reflect real-world scenarios or to accommodate new or emerging theories.

What is the process for changing the Axiom of Probability?

The process for changing the Axiom of Probability typically involves rigorous testing and analysis of the proposed changes. This may include mathematical proofs, simulations, and empirical studies to ensure that the new principles are logically consistent and can accurately predict outcomes.

What are the potential implications of changing the Axiom of Probability?

Changing the Axiom of Probability can have significant implications for the field of probability theory and its applications. It may lead to new insights and advancements in various fields, such as finance, statistics, and machine learning. However, it may also require a re-evaluation of existing theories and models.

How do scientists determine if a change to the Axiom of Probability is valid?

Scientists use a variety of methods to determine the validity of a change to the Axiom of Probability. This may include conducting experiments, peer review, and comparing the new principles to existing theories. It is important for any changes to be thoroughly tested and supported by evidence before being accepted by the scientific community.

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