The normal probability plot is a graphical technique to identify substantive departures from normality. This includes identifying outliers, skewness, kurtosis, a need for transformations, …

Probability plots are a powerful tool to better understand your data. In this post, I intend to present the main principles of probability plots and focus on their visual interpretation using some real …

May 13, 2024 · A normal probability plot is a graphical technique to assess whether a dataset follows a normal distribution. It plots the quantiles of the dataset against the quantiles of a …

Making a histogram of your data can help you decide whether or not a set of data is normal, but a normal probability plot is more specialized: it graphs z-scores (normal scores) against your …

Apr 16, 2019 · In this article, I have tried to explain key concepts of probability plots on the examples of the P-P and Q-Q plots. You can find the notebook with the code used for …

Mar 3, 2022 · The probability plot (Chambers et al., 1983) is a graphical technique for assessing whether or not a data set follows a given distribution such as the normal or Weibull. The data …

A closer look at probability plots Overview The probscale.probplot function let’s you do a couple of things. They are: Creating percentile, quantile, or probability plots. Placing your probability …

Jun 19, 2025 · Q-Q stands for Quantile-Quantile. It plots the quantiles of the data set against the quantile of a standard distribution. If this doesn’t make sense, you’re not alone. Let’s break it …

What is a Probability Plot? A probability plot is a graphical technique used to assess if a dataset follows a specific distribution, such as the normal distribution.

Examine your probability plot to determine whether your data follow the fitted distribution. Use the p-values, the fitted distribution line, and the estimated percentiles to evaluate the distribution of …