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What the difference between a probability distribution and a probability function?
None. The full name is the Probability Distribution Function (pdf).
What the difference and relationship between a probability distribution and a probability function?
They are the same. The full name is the Probability Distribution Function (pdf).
What is the difference between probability distribution and probability density function?
A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.
Could f be a probability density function?
No. f is a letter of the Roman alphabet. It cannot be a probability density function.
What is probability mass function?
It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.
What the difference between a probability distribution and a probability function?
None. The full name is the Probability Distribution Function (pdf).
What the difference and relationship between a probability distribution and a probability function?
They are the same. The full name is the Probability Distribution Function (pdf).
What is the difference between probability distribution and probability density function?
A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.
What can be determined using theoretical probability?
The probability distribution function.
Could f be a probability density function?
No. f is a letter of the Roman alphabet. It cannot be a probability density function.
What is probability mass function?
It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.
What gives the probability of each random variable?
The marginal probability distribution function.
How do you find probability from probability generating function?
you can just ask the question on ask .com
What is the likelihood of the probability 0 to infinity?
The answer depends on the probability distribution function for the random variable.
What is the formula for probability when you don't know the outcome?
It is the probability distribution function that is relevant for the experiment.
What is the difference between a probability mass function and a probability density function?
The probability mass function is used to characterize the distribution of discrete random variables, while the probability density function is used to characterize the distribution of absolutely continuous random variables. You might want to read more about this at www.statlect.com/prbdst1.htm (see the link below or on the right)
Why can a function not be a probability mass function?
A function cannot be a probability mass function (PMF) if it violates the properties of a PMF. A PMF must assign a non-negative probability to each possible outcome of a discrete random variable, and the sum of probabilities for all possible outcomes must be equal to 1. If a function does not satisfy these properties, it cannot be considered a PMF.
