A measure score in which each individual value for the measure can fall anywhere along a continuous scale (e g , mean time to thrombolytics which aggregates the time in minutes from a case presenting with chest pain to the time of administration of thrombolytics)
A quantitative variable is continuous if its set of possible values is uncountable Examples include temperature, exact height, exact age (including parts of a second) In practice, one can never measure a continuous variable to infinite precision, so continuous variables are sometimes approximated by discrete variables A random variable X is also called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero (in symbols, if P(X = x) = 0 for every real number x) A random variable is continuous if and only if its cumulative probability distribution function is a continuous function (a function with no jumps)
A variable is said to be continuous if the values / observations belonging to it may take on any value within a finite or infinite interval You can count, order and measure continuous data
The potential values of a continuous variable are numbers which can be meaningfully ordered from "highest" to "lowest " Age and Gross Domestic Product are examples of continuous variables Compare categorical variable
A quantitative variable that can assume an infinite number of values associated with the numbers on a line interval Normally continuous variables are the result of some measurement process Grade point average is a continuous variable because it can assume any value between 0 0 and 4 0