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True
Yes. It is a continuous variable. As used in probability theory, it is an example of a continuous random variable.
The integral of the density function from the given point upwards.
it is a set of real numbers its consider fraction
The formula, if any, depends on the probability distribution function for the variable. In the case of a discrete variable, X, this defines the probability that X = x. For a continuous variable, the probability density function is a continuous function, f(x), such that Pr(a < X < b) is the area under the function f, between a and b (or the definite integral or f, with respect to x, between a and b.
No. The probability that a continuous random variable takes a specific value is always zero.
It is a discrete random variable.
True
Yes. It is a continuous variable. As used in probability theory, it is an example of a continuous random variable.
continuous random variable
The integral of the density function from the given point upwards.
Usually we consider a random variable which assigns a value to the outcome of an event. The value assigned to the outcome can be either discrete or continuous. The continuous random variable is a random variable whose domain is defined over a continuous range. Examples: Daily inches of rain, speed of cars on highway, purchases made everyday at grocery stores.
it is a continuous random variable
Yes.
Zero.
it is a set of real numbers its consider fraction
You integrate the probability distribution function to get the cumulative distribution function (cdf). Then find the value of the random variable for which cdf = 0.5.