So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn about continuous variables and probability density ...

Integration techniques can be used to determine probabilities for any probability that is continuous. The function that models this probability is called a probability density function. A probability ...

Continuous Data can take any value (within a range) means contains decimal value also. Examples:- 1) We know that probability lies between 0 to 1 so that means any point between 0 to 1 i.e.

The total area under the curve must equal 1, representing the fact that the probability of some outcome occurring within the entire range is certain. \[\int_{-\infty}^{\infty}f\left(x\right)dx=1\] ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

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).