SAMPLING PRESENTAION PROBABILITY AND NON PROABABILITY AND ITS TYPES

1. TOPIC–sampling probabilityand non probabilityand it’s types
SUBJECTCODE – SWM(203)A
SESSION- 2023-25
SUBMITTEDTO : Submitted By
Dr. moh. Husainsir Irfan KHan
(Professor) MSW2ND Sem
Roll no . 18
MOBNO .9760196785

2.  Definition Types Probability Sampling Methods Simple
random sampling
 Systematic sampling
 Stratified sampling
 Clustered sampling
 Non-probability Sampling Methods
Convenience sampling
 Consecutive sampling
 Quota sampling
 Purposive or Judgmental sampling
 Snowball sampling
 Probability vs Non-probability Sampling

3.  IT’S A SIX WAY OF SAMPLING
 A. Understanding Objectives
 B. Target Population
 C. Sampling frame
 D. Sampling Design
 E. Sample size
 F. Ethical and Legal issues

4.  National Statistical Office (NSO), is an apex survey
institution in the country under the
 Ministry of Statistics and Program Implementation
which is entrusted with the task of
 conducting large scale sample surveys across
India. The data collected by NSO include
 household data, enterprise data, village facilities
and land & livestock holdings (Seddey).
The recent survey released by NSO include:
 ¾ Socio-economic survey-75th Round (2017-18):
Education and Health Schedule
 ¾ Socio-economic survey-76th Round (2018):
Survey of Persons with Disabilities
schedule

5.  Different sampling methods are widely used
by researchers in market research so that they
do not need to research the entire population to
collect actionable insights. It is also a time-
convenient and cost-effective method and
hence forms the basis of any research design.

6. How Should We choose the Respodents ?
 Sampling is a technique of selecting
individual members or a subset of the
population to make statistical
inferences from them and estimate the
characteristics of the whole
population.

8.  Probability Sampling methods are further
classified into different types, such as simple
random sampling, systematic sampling,
stratified sampling, and clustered sampling.
Let us discuss the different types of probability
sampling methods along with illustrative
examples here in detail.
 Simple Random Sampling
 Systematic Sampling
 Stratified Sampling
 Clustered Sampling

9.  Simple random sampling is a type of probability
sampling in which the researcher randomly selects
a subset of participants from a population. Each
member of the population has an equal chance of
being selected. Data is then collected from as large
a percentage as possible of this random subset

10.  In the systematic sampling method, the items
are selected from the target population by
selecting the random selection point and
selecting the other methods after a fixed sample
interval. It is calculated by dividing the total
population size by the desired population size.

11.  In a stratified sampling method, the total population
is divided into smaller groups to complete the
sampling process. The small group is formed based
on a few characteristics in the population. After
separating the population into a smaller group, the
statisticians randomly select the sample.

12.  In the clustered sampling method, the cluster or
group of people are formed from the population
set. The group has similar significatory
characteristics. Also, they have an equal chance
of being a part of the sample. This method uses
simple random sampling for the cluster of
population.

14.  The non-probability sampling method is a
technique in which the researcher selects the
sample based on subjective judgment rather than
the random selection. In this method, not all the
members of the population have a chance to
participate in the study.

15.  Non-probability Sampling methods are further
classified into different types, such as convenience
sampling, consecutive sampling, quota sampling,
judgmental sampling, snowball sampling. Here, let
us discuss all these types of non-probability
sampling in detail.
 Convenience Sampling
 Consecutive Sampling
 Quota Sampling
 Purposive or Judgmental Sampling
 Snowball Sampling

16.  In a convenience sampling method, the samples
are selected from the population directly because
they are conveniently available for the researcher.
The samples are easy to select, and the researcher
did not choose the sample that outlines the entire
population.

17.  Consecutive sampling is similar to convenience
sampling with a slight variation. The researcher picks a
single person or a group of people for sampling. Then
the researcher researches for a period of time to
analyze the result and move to another group if
needed.

18.  In the quota sampling method, the researcher
forms a sample that involves the individuals to
represent the population based on specific
traits or qualities. The researcher chooses the
sample subsets that bring the useful collection
of data that generalizes the entire population.

19.  In purposive sampling, the samples are selected only
based on the researcher’s knowledge. As their
knowledge is instrumental in creating the samples,
there are the chances of obtaining highly accurate
answers with a minimum marginal error. It is also
known as judgmental sampling or authoritative
sampling.

20.  Snowball sampling is also known as a chain-
referral sampling technique. In this method, the
samples have traits that are difficult to find. So,
each identified member of a population is asked to
find the other sampling units. Those sampling
units also belong to the same targeted population.

21.  I HOPE YOU , ALL MY FRIENDS AND
RESPECTED SIR HAVE ENJOY MY PPT
 HAVE A NICE DAY
THANK YOU