Sampling for Quantitative Technique

1. BY
WASIM AKRAM
PGDM
XIME CHENNAI
SAMPLING

2. Sample
A portion chosen from the population.
Sampling
The method of selecting samples from populations.

3. Types of Sampling
 Nonrandom Sampling
 Random Sampling
Nonrandom Sampling
 Selecting a sample of known elements from population.
 Some elements of the population have no probability of getting selected into
a sample.
Example:
A forest ranger makes a judgment sampling that, which part of the forest he will
select for his project.

4. Types of Nonrandom Sampling
 Convenience Sampling :- It is based on the convenience of researcher.
The researcher selects the sample which is most convenient to him.
 Judgment Sampling :- Analyzing the given data and make a judgment
and then select a sample.
 Quota Sampling :- It consist of fixation certain quotas on the basis of
certain parameters so as to make sample.
 Shopping-Mall Intercept Sampling :- It involves drawing sample from
various location like- market places, shopping mall, fairs etc, to make
sample representing the people.
 Snowball Sampling :- First sample is selected randomly then additional
samples are selected by their referrals and so on.

5. Random Sampling
Selecting a sample randomly from a population.
Each item in the entire population to have an equal chance of being included in
the sample.
Example:
Selection of a sample of some balls from a bucket filled with large numbers of
balls of multiple colours.

6. Types of Random Sampling
 Simple Random Sampling
 Systematic Sampling
 Stratified Sampling
 Cluster Sampling
Simple Random Sampling
Selecting sample by method that allow each possible sample to have an equal
probability of being picked and each item in the population to have an equal
chance of being included in the sample.
Example:
Selection of a sample of some balls from a bucket filled with large numbers of
balls of multiple colours.

7. Systematic Sampling
Elements are selected from the population at a uniform interval that is
measured in time, order, or space.
In this case every third item is being selected systematically from a
population.

8. Stratified Sampling
A sampling method in which the population is first divided into homogeneous
subgroups called strata and then a simple random sample is taken from each
strata.
Example:- A population of a state is divided into groups say male, female and
kids then random samples are taken from the groups.

9. Cluster Sampling
A sampling method in which the population is first divided into clusters (A
cluster is a heterogeneous subset of the population). Then a simple random
sample of clusters is taken.
Example: A population of a state is divided into different
heterogeneous groups and then random samples are taken from the
groups.