May 1, 2024
Updated May 8, 2025
18 minute read
Descriptive statistics is a fundamental branch of statistics that focuses on summarizing and describing the main features of a collection of information, or a data set. It provides simple summaries about the sample and the observations that have been made. Think of it as creating a snapshot of your data, allowing you to understand its basic characteristics at a glance. This field is often the first step in any data analysis process, providing a foundation for more complex explorations.
p0ahdr|
Find a path to becoming a Descriptive Statistics. Learn more at:
OpenCourser.com/topic/p0ahdr/descriptive
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Descriptive Statistics.
Provides proofs for many of the formulas and theorems used in descriptive statistics.
A classic textbook that provides a comprehensive introduction to descriptive statistics and probability.
Provides a detailed overview of descriptive statistics, including measures of central tendency, dispersion, and skewness.
Covers descriptive statistics using Stata, a statistical software package.
Focuses on the application of descriptive statistics and inferential statistics in psychology.
Provides a clear and concise overview of descriptive statistics for non-statisticians.
Provides a step-by-step guide to using SPSS, a popular statistical software package, to perform descriptive statistics.
A concise and accessible introduction to descriptive statistics for students in the social sciences.
Covers descriptive statistics as part of a broader introduction to statistics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/p0ahdr/descriptive