by satnam kakkar

1. SAMPLING TECHNIQUES
BY SATNAM
KAKKAR

2. SAMPLING TECHNIQUES
NON
PROBABILITY
PROBABILITY

3. NON PROBABILITY
TECHNIQUE
CONVENIENCE JUDGMENTAL
QUOTA SNOWBALL

4. EXPLAIN NON PROBABILITY
1.CONVENIENCE SAMPLING: In this researcher
according to the convenience select various
sampling units . often those elements are selected
in the sample , which happen to be in right place
and at right time . that is convenience..
2.JUDGMENTAL SAMPLING: In this sampling
technique , population elements are selected on
the basis of judgment and expertise of the
researcher . judgment mean-what researcher
believes that selected population elements are the
representative of the population of interest or
otherwise appropriate

5. 3.QUOTA SAMPLING: Quota sampling is the extension
of judgmental sampling and basically represents two
stage judgmental sampling.
In the first stage , various quotas on the basis of relevant
control .like age, gender ,race are normally taken into
account.
4. SNOWBALL SAMPLING: In the sampling technique
initially a small group of respondents is selected on
random basis . after interview , the selected
respondents are asked to identify other who belong to
the target population of interest.

6. PROBABILITY TECHNIQUE
SIMPLE
RANDOM
SYSTEMATIC
STRATIFIED
OTHER
SAMPLING
CLUSTER

7. EXPLAIN PROBABILITY
TECHNIQUE
1. simple random sampling: Each element in
the simple is selected independent of the other
. each element has a know and equal
probability of selection and more over sample
of the given size . ex:-Lottery method.
2. Systematic sampling: first element from the
sampling frame is selected randomly ; first
element is selected from the first sampling
interval ,N is the population size.

8. 3.Stratified sampling is a two step procedure . In the first
step t he population is divided into various levels and
strata.
In the second stage , the elements from the particular
strata are chosen on the basis of simple random
sampling.
4. Cluster sampling : Population is first divided into
subpopulations also known as clusters . These
clusters should be mutually exclusive and collectively
exhaustive.
5.It is a kind of sampling technique , in which population
elements are sampled sequentially . data collection
and analysis are performed at each stage and a

9. THANK YOU