This PowerPoint presentation provides a comprehensive overview of two prominent sampling techniques used in research: Simple Random Sampling (SRS) and Judgment Sampling. It aims to educate the audience about the principles, applications, advantages, and limitations of these sampling methods.

1. Understanding
Sampling Methods
Simple Random Sampling &
Judgment Sampling
By,
Aashish

2. 2
Sampling:
Sampling is the process of
selecting a subset of individuals or
items from a larger population to
make inferences about the whole
population.
Importance of Sampling:
Sampling allows researchers to
gather data efficiently and make
valid statistical inferences about
populations.

3. Simple Random
Sampling (SRS)
Simple random sampling is a sampling
technique where everyone in the population
has an equal probability of being selected and
each combination of individuals has an equal
probability of being selected as the sample.
Characteristics:
• Every member of the population has an
equal chance of being selected.
• Requires a sampling frame that lists all
members of the population.
• Selection process is purely random,
without any bias.
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4. Simple Random Sampling (Contd.)
Example:
Suppose we want to conduct a
survey on customer satisfaction
at a grocery store. We assign
each customer a number and
use a random number generator
to select a sample of customers
to survey.
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5. Advantages of Simple Random
Sampling
• Unbiased representation of the
population.
• Easy to understand and implement.
• Results are statistically reliable and
generalizable.
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Limitations of Simple Random
Sampling
• Requires a complete list of the
population (sampling frame), which
may not always be available.
• Not suitable for large populations
due to the time and cost involved.
• Potential for underrepresentation or
overrepresentation of certain groups.
Simple Random Sampling (Contd.)

6. Judgment Sampling Judgment sampling is a non-probability sampling
technique where the researcher selects a sample
based on their judgment and expertise.
Characteristics:
• Relies on the researcher's subjective judgment.
• Used when the population is not easily
accessible or when specific criteria need to be
met.
• Convenience sampling, purposive sampling,
and quota sampling are types of judgment
sampling.
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7. Judgment Sampling (Contd.)
Example:
A researcher conducting interviews
with experts in a particular field
selects participants based on their
knowledge and expertise, rather than
randomly selecting from the
population.
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8. Limitations of Judgment Sampling
• Subject to researcher bias, leading to
potential inaccuracies.
• Results may not be generalizable to
the entire population.
• Lack of randomness makes it
difficult to assess the
representativeness of the sample.
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Advantages of Judgment Sampling
• Convenient and efficient, especially
when the population is hard to
access.
• Allows for targeted sampling based
on specific criteria.
• Useful for exploratory research or
when detailed insights are needed.
Judgment Sampling (Contd.)

9. Conclusion
• Both simple random sampling and
judgment sampling are valuable sampling
techniques with their own advantages
and limitations.
• The choice between these methods
should be based on the specific
requirements of the research study and
the characteristics of the population
being studied.
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10. Questions?
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