Sampling (Research)
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Transcript of Sampling (Research)
Sampling
Prepared By :-
Akshay Sikarwar
GLA University
Mathura
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.
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.
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.
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.
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.
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.
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.