Normal Probability Plot: a quantile-quantile plot where one of the data sets is normally distributed. Probability Density Function: a function of a continuous random variable, such that the area under ...

Learn how to use box plots to visualize and compare probability distributions, and how to create them in R. Box plots show the median, IQR, range, and outliers of a distribution.

When you request a lognormal probability plot, you must specify the shape parameter for the lognormal distribution (see Table 9.13 for the equation). The value of must be positive, and typical values ...

The Probability Density Function (PDF) Introduction So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn ...

As you've seen before, a density plot is a "smoothed" version of a histogram estimated from the observations. To estimate a density function from given continuous data, you can use parametric or ...

Properties of P-P and Q-Q probability plots for visually assessing the fit of probability models are reviewed. It is shown how to construct families of curves for standardized P-P plots, which are ...

Probability density function (PDF) curves are among the few charts on a Cartesian coordinate system that are commonly presented without y-axes. This design decision may be due to the lack of relevance ...

A probability is the expectation of an indicator function. However, the standard pathwise sensitivity estimation approach, which interchanges the differentiation and expectation, cannot be directly ...