Advantages and Disadvantages of Two Sampling Methods

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Explain the Advantages and Disadvantages of Two Sampling Methods
Random sampling is a type of sampling which shows no bias and in which every member of
the population has an equal chance of being selected. The method usually involves the use
of random number tables.
Some of the advantages of random sampling are:
The results are completely accurate when it comes to statistics there should be no
anonymous results because it will be free from bias.
Using this type of sampling is easy to carry out.
However, random sampling also has its disadvantages:
The results could be the same and tests could be repeated, so the results could
become more difficult to analyse.
It is easy to miss something if you are taking random samples so you could miss out
an important piece of information and so this could affect the reliability of your
results.
Another type of sampling is systematic sampling this is where you take samples from every
fixed interval for example every tenth person or every ten meters down a beach you would
collect data and keep this consistent throughout the geographical investigation.
Advantages of using systematic sampling within a geographical investigation are:
Using this type of sampling is easy to carry out.
You do not need a lot of equipment to take a sample.
It is quick to carry out.
You do not need a lot of time to plan where you are going to take the samples from
because you have set distances.
However, there are also disadvantages to systematic sampling such as:
In between areas of samples you could miss an important feature and this could
cause you to have anomalous results and later could cause problems when analysing
the data.
Is that the samples could give the same results if they are in close proximity to each
other; this could cause inconclusive data and so could affect the analysis of the data.

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