sampling (research)
DESCRIPTION
A short note about SamplingTRANSCRIPT
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Sampling
Prepared By :-
Akshay Sikarwar
GLA University
Mathura
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Sample
sample is a subset of some of the units in
the population
Example :-- Suppose we want to conduct a
research in GLA University which consist 5000
students and 1000 students included as
targeted population and only 500 students
are selected as sample for actual study.
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What is Sampling ???
Sampling is the process of selecting
units (e.g., people, organizations)
from a population of interest so that
by studying the sample we may
fairly generalize our results back to
the population from which they
were chosen.
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Why Sampling ????
Sampling is done because you usually cannot gather
data from the entire population.
Some other benefits are :-
Reduced cost: It is obviously less costly to obtain
data for a selected subset of a population, rather
than the entire population.
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Speed: Observations are easier to collect and
summarize with a sample than with a complete
count. This consideration may be vital if the speed
of the analysis is important, such as through exit
polls in elections.
Greater scope: A complete census (enumeration) is
not practical or possible. Thus, surveys that rely on
sampling have greater flexibility regarding the type
of information that can be obtained.
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Types of Sampling Techniques
There are two types of Sampling Techniques :-
1. Probability Sampling
2. Non-Probability Sampling
Note:- Probability and Non-Probability
Sampling are also known as Random and
Non-Random sampling respectively.
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Probability Sampling
A probability sampling method is
any method of sampling that utilizes
some form of random selection.
Each individual in the population of
interest has an equal likelihood of
selection.
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Non-Probability Sampling
In contrast with probability
sampling, non-probability sample is not
a product of a randomized selection
processes. Subjects in a non-probability
sample are usually selected on the
basis of their accessibility or by the
purposive personal judgment of the researcher.
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