Sampling is the process of selecting a subset of individuals from within a population to estimate characteristics of the whole population, and there are two main types of sampling: probability sampling which gives all individuals an equal chance of being selected, and non-probability sampling which does not. The main difference between these two sampling methods is that probability sampling allows for statistical inferences about the population while non-probability sampling only explores characteristics of the sample. Common sampling methods include simple random, systematic, stratified, and cluster sampling for probability sampling and convenience, quota, judgement, and snowball sampling for non-probability sampling.

1. PRESENTED BY
PRATHIMA
M.COM 1st YEAR
SAMPLING ERROR DIFFERENCE BETWEEN
PROBABILITY AND NON PROBABILITY
METHOD OF SAMPLING
Under the guidance of
Sundar B. N.
Asst. Prof. & Course Co-ordinator
GFGCW, PG Studies in Commerce
Holenarasipura

4.  Sampling error refers to differences between the sample
and the population that exist only because of the
observations that happened to be selected for the sample
 Increasing the sample size will reduce this type of error
Sampling
error
sample sample
Sampling
error
population
population

5. 1.Biased Sample error
2.Unbiased sample error

6. • probability sampling is a sampling technique in
which the subject of the population get an equal
opportunity to be selected as a representative
sample.
Probability Sampling
NonProbability Sampling

7. DIFFERENCES BETWEEN PROBABILITY AND NON-
PROBABILITY
Basis for comparison Probability sampling
Non-probability
sampling
Alternately known as
Basis of selection
Opportunity of selection
Research
Result
Method
Inferences
Hypothesis
Random sampling
Randomly
Fixed and know
Conclusive
Unbiased
Objective
Statical
Tested
Non Random
sampling
Arbitrarily
Not specified and
unknown
Exploratory
Biased
Subjective
Analytical
Generated

8. METHODS OF SAMPLING
SAMPLING METHODS
PROBABILITY
SAMPLING
1. Simple
random
2. Systematic
3. Stratified
4. Cluster
NON-
PROBABILITY
SAMPLING
1. Convenience
2. QUOTA
3. Judgement
4. Snowball

9.  Sampling is the procedure a researcher uses
to gather people, places or things to study .
The representative proportion of the
population is called a sample . Population
refers to the large group from which the
sample is taken . Probability and Non-
probability sampling are two strategies of
sampling . Sampling and Non-sampling error
may occurs due to biased sample and wrong
measurement .

10. BIBLIOGRAPHY
1. Introduction to sampling error (Retrieved from
http://www.stutas.gla.ac.uk/steps/glossary/sampling
Htmt-accessed 18/04/2021
2. Sample error methods (Retrieved from
http://en.m.wikipesia.ong 18/04/2021
3. Sample error samges (Retrieved from
http://link.springer.com 18/04/2021