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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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