The Law of Statistical Regularity is derived from the mathematical theory of probability.
THE LAW
OF STATISTICAL REGULARITY
The Law of Statistical Regularity
is derived from the mathematical theory of probability. According to W.I.King, “the
Law of Statistical Regularity formulated in the mathematical theory of
probability lays down that a moderately large number of items chosen at random
from a very large group are almost sure to have the characteristics of the
large group.” For
example, if we want to find out the average income of 10,000 people, we take a sample of 100 people and find the
average. Suppose another person takes another sample of 100 people from the
same population and finds the average, the average income found out by both the
persons will have the least difference. On the other hand if the average income
of the same 10,000 people is found out by the census method, the result will be
more or less the same.
Characteristics
1. The item selected will represent
the universe and the result is generalized to universe as a whole.
2. Since sample size is large, it is representative of
the universe. 3. There is a very remote chance of bias.
Tags : Research Methodology - Questionnaire & Sampling
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