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Random Sampling
ALL members of the target population must have an equal chance of
being selected.
For example, pulling names out of a hat.
Bob
Betty Brian
(I couldn't think of any other
names)
Etc…read more

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Advantages Disadvantages
·If the sample is large ·Not every member of
enough, it should be the population may be
representative due to willing or available to
laws of probability participate
·No bias ·Small sample might not
represent entire
population, for example,
if all boys were chosen.…read more

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Stratified Sampling
The target population is split into sub-sets, for example, based on gender,
and then random sampling is repeated.
For example, if the target population consisted of 50% male and 50%
female, the sample should include an equal number of each
Chloe
Emily
Harry
Boy's name Girl's name
Jack
Oliver
Olivia…read more

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Advantages Disadvantages
·If sample is large ·Not every member of
enough, it should be the population may be
representative willing or available
·No bias
·Proportional for
subgroups…read more

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Opportunity Sampling
(also known as convenience sampling)
The simplest form of sampling... choosing whoever is available at the time
You all look available,
want to take part in my
study?…read more

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