Descriptive Statistics

Sunil Kumar ()

Chapter Chapter 13 in Python for Accounting and Finance, 2024, pp 199-210 from Springer

Abstract: Abstract Descriptive statistics provide an essential foundation for understanding and summarizing large datasets by offering valuable insights into the central tendencies, dispersion, and shape of the distribution. By leveraging measures such as mean, median, mode, range, variance, and standard deviation, researchers can succinctly present the essential characteristics of a dataset.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-54680-8_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031546808

DOI: 10.1007/978-3-031-54680-8_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().