Introduction to Sample size decision
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Transcript of Introduction to Sample size decision
05/02/2023 1
Presenting byHiraj Ramachandran
Research Methodology
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Introduction to Sample Size Decision
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1 POPULATION
Totality of statistical data forming a subject of investigation.
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2 SAMPLE
Portion of population which is examined with a view to estimating the characteristics of population.
Clas
sifica
tion
Sampling Methods
Probability Samples
Systematic
Stratified
Cluster
SimpleRandom
Non-Probability
Convenience
Snowball
Judgment
Quota
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Sample Size Decision
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To be Remind
Sample Mean VS Population Mean
Representativeness
Accuracy
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Factors influence sample size decision
Nature and Population
Complexity of Tabulation
Issues in Collection of Data
Type of Sampling
Basic Information's
Degree of Accuracy
Level of Confidence
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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
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Types of Sampling Errors
Sample Errors• Act of taking sample• Deference between Census• Statistical Error
Non Sample Errors• Response Error• Non Response Error
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Conclusion
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
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