EconPapers    
Economics at your fingertips  
 

Measures of Central Tendency

Charan Singh Rayat
Additional contact information
Charan Singh Rayat: Postgraduate Institute of Medical Education & Research, Department of Histopathology

Chapter 6 in Statistical Methods in Medical Research, 2018, pp 33-46 from Springer

Abstract: Abstract The quantitative data collected by statistical techniques, if classified and put in the form of frequency distribution, gives prominence to its structure. But the description and comparison of frequency distributions are major activities in “biostatistics.” It is therefore necessary to further condense the frequency distribution to small figures which could reveal its characteristics. There are certain measures which indicate the middle of the distribution. These are known as “centering constants” or “measures of central tendency.” When an investigator remarks “Men are taller than women,” it does not mean all men are taller than all women. But it means that “average height” of all men is greater than “average height” of all women. The “average height” obtained for the comparison of these two groups is termed as the measure of “central tendency.”

Date: 2018
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:978-981-13-0827-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9789811308277

DOI: 10.1007/978-981-13-0827-7_6

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 ().

 
Page updated 2026-06-08
Handle: RePEc:spr:sprchp:978-981-13-0827-7_6