Prof. Shriram Kargaonkar (Asst. Prof . & HOD Statistics Department) explained the concept of Population and Sample in the very simple way. (YouTube Video Link - https://youtu.be/r0ovqPw7624?t=18
Email- snkargaonkar@mitacsc.ac.in
LIKE SHARE & SUBSCRIBE YT Channel - https://www.youtube.com/channel/UC9QIMhC3OioapZDXgsPvnAw
Sampling by Dr. Rangappa AshiAssociate ProfessorSDM Institute of Nursing Sc...rangappa
In research studies it’s not
always possible to study an
entire population, therefore the
researcher draws a
representative part of a
population through sampling
process.
Population in statistics means the whole of the information which comes under the preview of statistical investigation.
In other words, an aggregate of objects animate or in animate under study is the population.
It is also known as “Universe”.
Prof. Shriram Kargaonkar (Asst. Prof . & HOD Statistics Department) explained the concept of Population and Sample in the very simple way. (YouTube Video Link - https://youtu.be/r0ovqPw7624?t=18
Email- snkargaonkar@mitacsc.ac.in
LIKE SHARE & SUBSCRIBE YT Channel - https://www.youtube.com/channel/UC9QIMhC3OioapZDXgsPvnAw
Sampling by Dr. Rangappa AshiAssociate ProfessorSDM Institute of Nursing Sc...rangappa
In research studies it’s not
always possible to study an
entire population, therefore the
researcher draws a
representative part of a
population through sampling
process.
Population in statistics means the whole of the information which comes under the preview of statistical investigation.
In other words, an aggregate of objects animate or in animate under study is the population.
It is also known as “Universe”.
Sampling means selecting the group that researcher will actually collect data from in research. It attempts to collect samples that are representative of the population.
Sampling means selecting the group that researcher will actually collect data from in research. It attempts to collect samples that are representative of the population.
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3. • Sample : A part of the whole selected with the
belief that it will represent the characteristics of
the whole.
• Sampling is a statistical technique which is used
to collect information on the basis of the
characteristics of a population.
• Statistic: Any numerical value calculated from
sample data is called statistic.
• Population: The whole or totality from which a
sample is selected/ drawn is called a population.
• Parameter: Any numerical value calculated from
population data is called parameter.
8. Simple random sample
A sample is defined to be a simple random
sample (SRS) if it is selected in such a manner
that i) each unit in the population has an equal
probability of being included in the sample and
ii) each possible sample of the same size has an
equal probability of being the sample selected.