Probability that A is smaller than B?

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In summary, the probability that the average of A is smaller than the average of B is at least 50% of the time.
  • #1
wavingerwin
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Given two data sets A and B, we can, say, conduct ANOVA to see if the average is statistically different.

Is there a way to determine what is the probabilty that A is smaller than B?

Let's say that we can NOT assume anything about A and B e.g. if they follow a normal distribution.
 
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  • #2
wavingerwin said:
Given two data sets A and B, we can, say, conduct ANOVA to see if the average is statistically different.

Is there a way to determine what is the probabilty that A is smaller than B?

Let's say that we can NOT assume anything about A and B e.g. if they follow a normal distribution.

? Do you mean the probability that the average of A is smaller than the average of B? If we know nothing at all, then we can conclude nothing at all.
 
  • #3
Hornbein said:
? Do you mean the probability that the average of A is smaller than the average of B? If we know nothing at all, then we can conclude nothing at all.

Yes, something to that effect. Is it possible to say "A is smaller than B X% of the time" ?
 
  • #4
wavingerwin said:
Yes, something to that effect. Is it possible to say "A is smaller than B X% of the time" ?
If we know that A and B are iid (independent identically distributed) random variables then we can say that avg of A is smaller or equal to avg of B at least 50% of the time.

Proof: Since they are iid, P[ avg(A)<= avg(B) ] = P[avg(B) <= avg(A)].

P[ avg(A)<= avg(B) ] + P[avg(B) <= avg(A)] >=1

P[ avg(A)<= avg(B) ] + P[ avg(A)<= avg(B) ] >=1

2P[ avg(A)<= avg(B) ] >=1

P[ avg(A)<= avg(B) ] >=1/2
 
  • #5
wavingerwin said:
Let's say that we can NOT assume anything about A and B e.g. if they follow a normal distribution.
You can do non-parametric analysis, such as the Wilcox test.
 
  • #6
I think Wilcoxon signed rank requires the samples be from a single population. Does that fit what we are looking at here?
 
  • #7
jim mcnamara said:
I think Wilcoxon signed rank requires the samples be from a single population. Does that fit what we are looking at here?
I linked to wrong test. Here's the two sample version.
 
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  • #8
Much better - thank you. I thought maybe I had lost my last remaining brain cell.
 

FAQ: Probability that A is smaller than B?

What is the meaning of "Probability that A is smaller than B"?

The probability that A is smaller than B refers to the likelihood or chance that the value of A will be lower than the value of B. It is a measure of uncertainty and is often expressed as a decimal or percentage.

How is the probability of A being smaller than B calculated?

The probability of A being smaller than B is calculated by dividing the number of outcomes where A is smaller than B by the total number of possible outcomes. This can be represented as a fraction, decimal, or percentage.

What factors influence the probability of A being smaller than B?

The probability of A being smaller than B is influenced by the values of A and B, as well as the distribution of these values. Other factors that may affect the probability include sample size, sample variability, and the presence of any outliers in the data.

Can the probability of A being smaller than B be greater than 1?

No, the probability of A being smaller than B cannot be greater than 1. This would imply that it is certain that A will be smaller than B, which is not possible. Probabilities range from 0 to 1, with 0 indicating impossibility and 1 indicating certainty.

How can the probability of A being smaller than B be used in real-world applications?

The probability of A being smaller than B can be used in many real-world applications, such as in finance, insurance, and gambling. It can also be used in decision-making processes where the likelihood of one event being smaller than another is important to consider.

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