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Presenting by
Hiraj Ramachandran
Research Methodology
4/26/2016 1
Introduction to Sample Size Decision
4/26/2016 2
POPULATION
4/26/2016 3
Totality of statistical data forming a
subject of investigation.
4/26/2016 4
SAMPLE
Portion of population which is examined
with a view to estimating the
characteristics of population.
Classification
4/26/2016 5
Sampling
Methods
Probability
Samples
Systematic
Stratified
Cluster
Simple
Random
Non-
Probability
Convenience
Snowball
Judgment
Quota
4/26/2016 6
Sample Size Decision
To be Remind
4/26/2016 7
Sample Mean VS
Population Mean
Representativeness
Accuracy
Factors influence sample size decision
4/26/2016 8
Nature and Population
Complexity of Tabulation
Issues in Collection of Data
Type of Sampling
Basic Information's
Degree of Accuracy
Level of Confidence
Sampling Error
• 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
4/26/2016 9
Types of Sampling Errors
4/26/2016 10
Sample Errors
• Act of taking sample
• Deference between Census
• Statistical Error
Non Sample Errors
• Response Error
• Non Response Error
Conclusion
4/26/2016 11
Remind
• Accuracy
• Representativeness
• Sample Mean VS
Population Mean
Factors
•Nature and Population
•Complexity of Tabulation
•Issues in Collection of Data
•Type of Sampling
•Basic Information's
•Degree of Accuracy
•Level of Confidence
Errors
• Sample Errors
• Non Sample Errors
? Questions
12
What’s Your Message?THANK YOU
4/26/2016 13

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Introduction to Sample size decision

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