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Presented by: Bushra Agha
2k17-RS-77
Sampling method??
A sampling method is a
procedure for selecting sample
from a population.
 Sample??
It is a unit that is selected from
the population.
 Represents the whole
population.
The sample reflects the true characteristics of the
population, so researcher must decide which
sampling method should be used. The sampling
methods can be classified as:
Random sampling V/s Non
Random sampling
 Random Sampling
Methods:
 Also called as a probability
sampling since the sample
selection is done randomly.
 Every unit have the same
probability of being
included in sample.
 Non-Random
Sampling Methods:
 In this case the selection is
done on the basis of
criteria.
 Every unit does not have
the same probability of
being included in sample.
Random sampling
1) Simple Random
Sampling
 The Simple Random
Sampling is a sampling
technique wherein
every item of the
population has an equal
and likely chance of
being selected in the
sample.
Random sampling
2)Stratified Sampling
 It is a sampling
technique wherein the
population is sub-divided
into homogeneous
groups, called as ‘strata’
from which the samples
are selected on a
random basis.
Random sampling
3)Systematic Sampling
 In this type, the starting
point from where the
element is to be drawn
from the population is
chosen randomly and
then the subsequent items
are selected on the basis
of the fixed periodic
interval between the
sample items.
Random sampling
4) Cluster Sampling
 In cluster sampling, the
researcher divides the
population into separate
groups, called clusters.
Then, a simple random
sample of clusters is
selected from the
population.
Stratified sampling V/S Cluster
sampling
Non Random sampling
1)The Judgment Sampling
 It is the non-random
sampling technique
wherein the choice of
sample items depends
exclusively on the
investigator’s knowledge
and professional
judgment.
Non Random sampling
2) Convenience
Sampling
 It is the non-probability
sampling technique
wherein a proportion of
the population is
selected on the basis of
its convenient
availability.
Non Random sampling
Non Random sampling
4)Snowball Sampling
 The snowball sampling
method is extensively used
in the situations when the
population is unknown
and rare, and it is hard to
select the subjects.
 Like ,one person
recommends another, who
recommends another, who
recommends another etc.
Any
Question?

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Sampling methods

  • 1.
  • 2. Presented by: Bushra Agha 2k17-RS-77
  • 3. Sampling method?? A sampling method is a procedure for selecting sample from a population.  Sample?? It is a unit that is selected from the population.  Represents the whole population.
  • 4. The sample reflects the true characteristics of the population, so researcher must decide which sampling method should be used. The sampling methods can be classified as:
  • 5. Random sampling V/s Non Random sampling  Random Sampling Methods:  Also called as a probability sampling since the sample selection is done randomly.  Every unit have the same probability of being included in sample.  Non-Random Sampling Methods:  In this case the selection is done on the basis of criteria.  Every unit does not have the same probability of being included in sample.
  • 6. Random sampling 1) Simple Random Sampling  The Simple Random Sampling is a sampling technique wherein every item of the population has an equal and likely chance of being selected in the sample.
  • 7. Random sampling 2)Stratified Sampling  It is a sampling technique wherein the population is sub-divided into homogeneous groups, called as ‘strata’ from which the samples are selected on a random basis.
  • 8. Random sampling 3)Systematic Sampling  In this type, the starting point from where the element is to be drawn from the population is chosen randomly and then the subsequent items are selected on the basis of the fixed periodic interval between the sample items.
  • 9. Random sampling 4) Cluster Sampling  In cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population.
  • 10. Stratified sampling V/S Cluster sampling
  • 11. Non Random sampling 1)The Judgment Sampling  It is the non-random sampling technique wherein the choice of sample items depends exclusively on the investigator’s knowledge and professional judgment.
  • 12. Non Random sampling 2) Convenience Sampling  It is the non-probability sampling technique wherein a proportion of the population is selected on the basis of its convenient availability.
  • 14. Non Random sampling 4)Snowball Sampling  The snowball sampling method is extensively used in the situations when the population is unknown and rare, and it is hard to select the subjects.  Like ,one person recommends another, who recommends another, who recommends another etc.