A continuous distribution refers to a random variable drawn from an infinite set. Examples of continuous ... The other distinction is between the probability density function (PDF) and the ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).

The data are discrete if there are only a set array of possible outcomes (e.g., zero, one, or only integers). Unlike a discrete distribution, a continuous probability distribution can contain ...