Question

In​ statistics, for what does the abbreviation​ "pdf" stand?

a)Probability discrete function
b)Probability distribution frequency
c)Probability delivery function
d)Probability distribution function

Answer 1

The abbreviation 'pdf' in statistics stands for Probability Distribution Function, which describes a discrete random variable either as an equation or a table listing outcomes and probabilities, and for continuous variables, it refers to the probability density function.

Step-by-step explanation:

In statistics, the abbreviation pdf stands for Probability Distribution Function. This function is a mathematical description of a discrete random variable (RV), which can be expressed as a formula or as a table listing possible outcomes of an experiment alongside their associated probabilities. There are two main characteristics of a probability distribution function (PDF) for a discrete random variable:

1. Each probability must be between zero and one, inclusive.
2. The sum of all the probabilities must equal one.

Furthermore, in the context of continuous random variables, the pdf refers to the

probability density function

, where the area under the density curve represents the probability for a given range. It is important to note that for a continuous probability density function, the total area under the curve must also be one.