Integral Valued Numerical Data: Measure of Central Tendency

Authors

  • Dhritikesh Chakrabarty Independent Researcher, Ex Associate Professor of Statistics, Handique Girls’ College, Assam, India

DOI:

https://doi.org/10.5281/zenodo.7123662

Keywords:

Data, integral valued observations, central tendency, measure

Abstract

In the situation where the data set to be studied consists of integral valued numerical observations, the existing measures of central tendency may fail to provide the value, which is a valid one, of central tendency since the values provided by them are not bound to be integers. A valid measure of the same, in the case of such data, has been derived in this study. This article describes the derivation of the measure and its application in the data on number of rainy days at New Delhi.

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Published

2022-09-29

How to Cite

Dhritikesh Chakrabarty. (2022). Integral Valued Numerical Data: Measure of Central Tendency. Partners Universal International Research Journal, 1(3), 74–82. https://doi.org/10.5281/zenodo.7123662

Issue

Section

Articles