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A proportion is usually between 0 and 1. A probability is always between 0 and 1, inclusive; 0 being impossible and 1 being certain.

Q: Range of values for proportion and probability?

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Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

Negative values, values greater than 1, complex values.

Yes.

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The range of vales of the event is the outcome space.

It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.

Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

When, over a given range, the probability that a variable in question lies within a particulat interval is equal to the size of that interval as a proportion of the range.

Negative values, values greater than 1, complex values.

Yes.

No. Probability values always have to be positive.

Probability theory deals with a events which have a range of probabilities of occurring, rather than a dichotomy of "happen" or "not happen". In a similar fashion, fuzzy logic deals with truth values that are not dichotomic: TRUE or FALSE, but have a range of intermediate values such as mostly true etc.

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