This document discusses sampling, which is a statistical method used to obtain representative data from a large group or population. A sample is a subset of elements selected from the overall population that represents the characteristics of the entire group. For a sample to be effective, it needs to be representative, adequate in size, independent, homogenous, lack bias, and be accurately and completely collected. The sample frame contains information used to identify and select the sample units, which are single elements chosen for research and statistics about the whole population.

1. Sampling
SREERAG

2. Sampling
• Easiest method of social investigation
• Statistical method of obtaining representative
data or observation from a large group.
• Selection of the sample
• Collection of information
• Drawing inferences

3. Sample
• Entities or observation randomly selected to
represent the behavior and characteristics of the
entire population.

4. Features
• Representativeness
• Adequacy
• Independence
• Homogeneity
• Lack of bias
• Smallness in size
• Accuracy and completeness

5. Sample Unit
• A single section selected to research and gather
statistics of the whole.

6. Sample frame
• Set of information used to identify the sample.
• Includes numerical identifier for each individual
element.
• Information about the characteristics.
• Aid to analysis of individuals.

7. Population
• All elements including or units that meet the
selection criteria for a group to be studied and from
which a representative sample taken for detailed
examination
• Total of all population is known as universe.

8. Sensus
• General: Official counting of regions or nations
people and compilation of economic, social and
other data, usually for formulation of development
policies and plans.
• Statistics: Survey of entire population, as opposed
to a sample survey

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