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Probability Plots and Modern Statistical Software

In: Computing Science and Statistics

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  • Panickos N. Palettas

    (Virginia Polytechnic Institute and State University, Department of Statistics)

Abstract

Probability plots play a key role in the statistical analysis of one-dimensional samples, emphasizing summarization and visualization. As modern workstations with increased power and agile graphics facilities have become widely available, modern statistical software packages are also increasingly emphasizing visualization and graphical exploratory data analysis. One would expect to see in such packages adequate, if not extensive, implementation of probability plotting methods. Nonetheless, the normal Q-Q plot, being a popular tool for assessing the normality of a sample, is the only type usually found (if at all). In this article we briefly review the basic types of probability plots and we make a suggestion as to what may form the base for the development of a general probability plotting procedure. We propose a variant of the P-P plot, instead of the more popular Q-Q plot, as the former enjoys better interpretability and it is more amenable to generalization. In a workstation based computational environment, the functionality and interpretability of P-P plots are even more amenable to improvement.

Suggested Citation

  • Panickos N. Palettas, 1992. "Probability Plots and Modern Statistical Software," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 489-491, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_84
    DOI: 10.1007/978-1-4612-2856-1_84
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