The document discusses two sampling methods: simple random sampling (SRS) and judgment sampling. SRS offers an unbiased and statistically reliable representation of a population but requires a complete sampling frame, while judgment sampling relies on the researcher's expertise and is efficient for hard-to-access populations but may introduce bias. The choice between these methods depends on the research study's specific requirements and the population's characteristics.

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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