Sampling Quantitative Techniques For Data analysis - PowerPoint PPT Presentation

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Sampling Quantitative Techniques For Data analysis

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Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete data collection work. Samples are extracting from the population. Hence, the sample has the features of population. Samples are reduced based on the time and cost. Based on the theorem, it is noted that the ‘Sample mean is an unbiased estimate of population mean’. Our Statswork experts are well aware of the sampling techniques prevalently used and we suggest you the best sampling method for your study. – PowerPoint PPT presentation

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Date added: 12 August 2019
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Title: Sampling Quantitative Techniques For Data analysis


1
Sampling Quantitative Techniques For Data
analysis
2018-2019 AllRights Reserved, No part of this
document should be modified/used without prior
consent Statswork- www.statswork.com INDIA
Nungambakkam, Chennai600034
2
At Statswork, our experts help you to identify
right sampling technique for your research
work. Sampling Sampling is a significant process
in your business research or your academic
research that plays a vital role in simplifying
your complete data collection work. Samples are
extracting from the population. Hence, the sample
has the features of population. Samples are
reduced based on the time and cost. Based on the
theorem, it is noted that the Sample mean is an
unbiased estimate of population mean. Our
Statswork experts are well aware of the sampling
techniques prevalently used and we suggest you
the best sampling method for your study.
2018-2019 AllRights Reserved, No part of this
document should be modified/used without prior
consent Statswork- www.statswork.com INDIA
Nungambakkam, Chennai600034
3
Several types of sampling techniques are
available as follows
Random Sampling This is the easiest form of
probability technique. In this method, each and
every respondent will get equal chances.
However, if the target population is high then it
is very difficult to define the exact sample
size (Saunders et al., 2003). Systematic
sampling This method is commonly referred as the
Nth name selection method. In this method, each
and every Nth record can be selected from the
target population (Saunders, 2003).
Stratified sampling Based on the
characteristics, the research will classify the
research population. After that the participants
will be selected by the researcher from
(Saunders, 2003). Convenience sampling In this
method, a subset of participants will be selected
by the researcher due to time and cost
constrictions. This method often assumes that the
target population is represented by the subset
of population. In this method, subjects with
convenient accessibility are generally selected
by the researcher (Saunders 2003).
2018-2019 AllRights Reserved, No part of this
document should be modified/used without prior
consent Statswork- www.statswork.com INDIA
Nungambakkam, Chennai600034
4
2018-2019 AllRights Reserved, No part of this
document should be modified/used without prior
consent Statswork- www.statswork.com INDIA
Nungambakkam, Chennai600034
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