How do you assess the peakedness (kurtosis) of a distribution quantitatively?

I have nominal data (eg counts, frequencies) or ordinal data (eg rank data, rating scales with unequal intervals, such as a scale like "very poor", "poor" " ... Mar 28, 2025 ... ... descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. This module illustrates how to obtain basic descriptive statistics using SAS. We illustrate this using a data file about 26 automobiles with their make, price, ... What are descriptive statistics? Descriptive statistics summarize a sample, for example the group of patients included in a clinical trial. They have to be ... Click and choose Descriptive statistics from the list of analyses for column data. Prism's descriptive statistics analysis computes descriptive statistics of ... This blog post will unravel the intricacies of descriptive statistics, focusing specifically on its application within the Statistical Package for the Social ... Descriptive statistics is a branch of statistics that is concerned with describing the characteristics of the known data. May 24, 2023 ... Which to use depends on the situation, as they have different goals. In general, descriptive statistics are easier to carry out and are ... Jul 4, 2006 ... statistical analysis typically begins by calculating descriptive statistics—numbers that characterize features of those specific data—and by ... Feb 28, 2023 ... The goal of descriptive statistics is to provide a quick and easy way to understand the data and to identify any patterns or trends.