It is [0, 1].
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).
Probability is a number in the range [0, 1]. The question gives a probability (240) which is way outside this range and so is not valid.
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).
Only when an event is probability to happen between a range of 1 to 0 then it is a fraction.
Probability values must range between 0 and 1, representing the likelihood of an event occurring, where 0 means impossibility and 1 means certainty. A probability of 120 exceeds this range, indicating a misunderstanding or miscalculation since a probability greater than 1 is not valid in the context of probability theory. Therefore, 120 cannot be a probability for any event.
The probability depends on the range of numbers from which to choose. If there is no limit to the range then probability is incalculable.
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).
Probability is a number in the range [0, 1]. The question gives a probability (240) which is way outside this range and so is not valid.
Out of a probability range from 1 to 0 it is 1 or 100%
The probability of an even must be a real number in the range [0, 1]. 120% is outside that range.
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.
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).
The range of vales of the event is the outcome space.
Probabilities can range from 0 to 1. Therefore, no event has a probability of 27.
Only when an event is probability to happen between a range of 1 to 0 then it is a fraction.
zero to one. 0 to 1.
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