This is a presentation based on Population, Sample and Types of sample. It is very uesful for the study of Statistics.

1. POPULATION AND SAMPLE
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2. POPULATION
• A complete set of elements (especially persons) that posses
some common characteristic defined by the sampling criteria
established by the researcher.
• Population include all of the elements from a set of data.
• Example : No of persons in the India
• Measurable characteristics of a population (mean, standard
deviation) is called parameter.
• There are two types of population: target population and
accessible population.

3. SAMPLE
• Sample is the selected element chosen for participation in a
study .
• It consist of one or more observation from the population.
• Sampling is the process of selecting a group of people, events,
behaviour or other elements with which to conduct study.
• Depending on the sampling method, a sample can have fewer
observation than the population, the same number of
observation or more observation.
• More than one sample can be derived from the same
population.
• Measurable characteristics of a sample is called statistics.

6. RANDOM SAMPLING

7. RANDOM SAMPLING
◎Each element in the population has an
equal chance of occur.
◎It is often difficult to do.
◎It is analogous to putting everyone’s
name into a hat and drawing out several
names.

8. SYSTEMATIC SAMPLE

9. SYSTEMATIC SAMPLE
◎A sample selected by listing a population
sequentially and choosing members in
regular intervals.

10. CONVENIENCE SAMPLE
◎The sample is taken from a group of
people easy to contact or to reach.
◎For example: Standing at a mall or a
grocery store and asking people to
answer.

11. STRATIFIED SAMPLE

12. STRATIFIED SAMPLE
◎Entire population is divided into various
mutually exclusive homogeneous and
over lapping subgroups.
◎The the sample is drawn randomly.

13. CLUSTERED SAMPLE
◎A sampling technique in which the
population is divided into already existing
groups.
◎Then a sample of the cluster is selected.
◎In geographical area and school.