The document discusses the concepts of population, sampling frames, and the various types of sampling units used in research. It highlights the differences between probability and non-probability sampling methods and emphasizes the importance of representativeness and sample size. Additionally, it mentions the necessity of using primary data collection when secondary data is unavailable.

1. Mr. MUSTAQ MULLA, M. Com, NET, K-SET
Teaching Assistant
P.G. Department of Studies in Commerce
Rani Channamma University Belagavi
Post Gradate Centre, Jamkhandi.
mustak.mulla44@gmail.com

3. I N T R O D U C T I O N
Population / Universe: The statistics denotes the
aggregate from which sample (items) are taken.
A population consists of all the objects or events of
a certain type about which researchers seek
knowledge or information.
A population can be defined as one with all the
people or items that the characteristic one wishes to

4. Sampling frame : is a list of which
potential respondents are drawn.
A sample: a sample is a Items, group of
people, or objects that are taken from a
larger population for measurement
“The representative of the Entre Papulation”

5. S a m p l e U n i t s
“A sampling unit is an individual person”,
A single element or group of elements subject to selection
in the sample.
 Primary Sampling Unit (PSU) : A unit selected in the first stage
of sampling.
 Secondary Sampling Unit :A unit selected in the second stage
of sampling.
 Tertiary Sampling Unit : A unit selected in the third stage of
sampling.

8. SAMPL ING
Sampling : Sampling is the selection of a
subset of the population of interest in
a research study.
Three elements in process of sampling :
 Selecting the sample
 Collecting the information
 Making inference about population
Statistics : values obtained from study of a
sample . Parameters : such values from

9. Parameters : Mean
values from study of
population.
Papulation – Parameters
(P-P)
Papulation mean =

10. Statistics : Mean
values obtained
from study of a
sample .
Statistics – Sample

12. NEED FOR SAMPLING
When secondary data are not available for
the problem under study , primary data is
collected.
•Two methods –
• Census method or complete
enumeration method

13. ESSENTIALS OF SAMPLING
 Representativeness- Ensure By Random
Selection
 Adequacy - Sample Size
 Independence - Same Chance Of Selection
 Homogeneity - No Basic Difference In Nature Of

17. Probability Sampling
The sampling method in which all the members of the
population has a pre-specified and an equal chance to
be a part of the sample.
This technique is based on the randomization principle,
wherein the procedure is so designed, which guarantees
that each and every individual of the population has an
equal selection opportunity.

19. Involves non random methods in selection of sample
All have not equal chance of being selected
Selection depend upon situation
Convenient
Considerably less expensive
Sample chosen in many ways
Non-Probability Sampling

35. 903674080
1
Mustak.mulla44@gmail
.com
Mr. MUSTAQ MULLA, M. Com, NET, K-SET
Teaching Assistant
P.G. Department of Studies in Commerce,
RCUB, P G Centre Jamkhandi.