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Membership is Not the same as probability.v Probability describes the uncertainty of event occurrence .The probability is an uncertainty associated with time.

vFuzziness describes event ambiguity , i.e., the degree to which an event occurs not whether it occurs

Q: What is the difference between probability and membership function?

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None. The full name is the Probability Distribution Function (pdf).

They are the same. The full name is the Probability Distribution Function (pdf).

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 is density curve

The difference between "at least" and "at most" is not restricted to probability. The difference is simply one between the precise meaning of the phrases in every day English language.

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None. The full name is the Probability Distribution Function (pdf).

They are the same. The full name is the Probability Distribution Function (pdf).

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 is density curve

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)

What is the difference between dependant and independent events in terms of probability

A random variable is a variable that can take different values according to a process, at least part of which is random.For a discrete random variable (RV), a probability distribution is a function that assigns, to each value of the RV, the probability that the RV takes that value.The probability of a continuous RV taking any specificvalue is always 0 and the distribution is a density function such that the probability of the RV taking a value between x and y is the area under the distribution function between x and y.

probability is a guess and actuality is what will happen

The difference between "at least" and "at most" is not restricted to probability. The difference is simply one between the precise meaning of the phrases in every day English language.

The range of a function is the set of values that the function can take. In the context of probability and statistics, it is the difference between the maximum value and the minimum value that a variable can take.

I donot. Knew it

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.