This document discusses sampling techniques used in research. It defines sampling as selecting a representative subset of a population to study. There are two main types of sampling: probability sampling, which uses random selection, and non-probability sampling, which relies on the researcher's judgment. Some examples of probability sampling techniques provided are simple random sampling, systematic sampling, and stratified sampling. Non-probability sampling techniques mentioned include convenience sampling, purposive sampling, and snowball sampling. The document emphasizes that sampling allows researchers to study a population in a time and cost-effective way while obtaining representative results.

1. SAMPLING
TECHNIQUES
PRESENTED BY:
NIKITA SARANGI

2.  Sampling is the process of selecting representative unit from an
entire population.
 Population is define as a group of people, objects, events,
measurement, etc. A population can thus be said to be an aggregate
observation of the subject grouped together by a common feature.
 It is not always possible to study an entire population; therefore, the
researcher draws a representative part of population through
sampling process.
 In other words, samping is the selection of some part of a whole on
the basis of which judgements about the aggregate or mass is made.

3.  In most cases, it is economicaly not possible for a researcher to study an
entire population. With the help of sampling, the researcher can save
lots of time, money and resources to study a phenomenon.
 Sampling improves the qualityof data as it is proven fact that when a
person handles less amount of work for few number of people, then it
is easier to ensure the quality of outcome.
 Studing an entire population itself consumes lot of time and
generating result f alarge mass is almost impossible as most of the
research studies have time limits therefore, sampling provides quick
study results.

4. REPRESENTSTIVE
FREE FROMBIASAND ERRORS
NO SUBSTUTIONAND INCOMPLETENESS
APPROPRIATE SAMPLE SIZE

5. PROBABILITY SAMPLING
A sampling technique in which
the researcher selects samples
from a larger population using
method based on theory of
probability or ramdom selection.
NON PROBABILITY SAMPLING
A sampling technique in which
a researcher selects samples
based on subjective judgment of
the researcher rather than
random selection.

6.  SIMPLERANDOMSAMPLING
- Lottery method
- Tippet’s number
- Grid method
 SYSTEMATICSAMPLING
- Systematic random sampling
- Liner systematic sampling
- Circular systematic sampling
 STRATIFIEDSAMPLING
- Proportionate sampling
- Disproportionate sampling
 CLUSTERSAMPLING
- Single stage cluster
- Two stage cluster

7.  Conveniencesampling
 Voluntaryresponse sampling
 Purposivesampling
-Heterogeneous purposive sample
- Homogeneous purposive sample
- Extreme case sampling
- Typical case sampling
- Critical case sampling
 SNOWBALLSAMPLING
- Liner snowball sampling
- Non discriminative sampling
- Discriminative sampling
 QUOTASAMPLING
- Controlled quota sampling
- Uncontrolled quota sampling

8. THANK YOU