The curve that characterizes outcomes of a continuous random variable is called a ________.
A)cumulative distribution function,c(x)
B)probability mass function,p(x)
C)continuous random function,r(x)
D)probability density function,f(x)

Question

Quizplus · Accepted Answer

The probability density function (PDF) is the curve that characterizes outcomes of a continuous random variable. It represents the relative likelihood of different outcomes and is defined as the derivative of the cumulative distribution function (CDF). Option A is incorrect as it refers to the cumulative distribution function, which gives the cumulative probability up to a certain point. Option B is incorrect as it refers to the probability mass function, which is used for discrete random variables. Option C is incorrect as it does not exist.

The Curve That Characterizes Outcomes of a Continuous Random Variable