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We use samples to perform experiments. When sampling, we take test subjects from a larger group often known as "<em>population</em>" or at times "<em>universe</em>".
Sampling is a term we use to describe the process of selecting a small representitive group from a larger population. Sampling can often be divided in its simplest form into:
- <u>Random Samples</u>
- <u>Non-Random Samples.</u>
Which as their names imply, represent first a sample that is chosen by not specific method and whose probability is equal for the entire <em>population</em>, and secondly a sample chosen based on specific parameters.
Sampling can then become more complex, being divided into more complex methods such as:
- <u>Systematic sampling </u>
- <u>Stratified sampling </u>
- <u>Cluster sampling</u>
etc.
The one thing all of the sampling methods have in common is the fact that they will all draw their samples from one place. This place or aspect from which samples are drawn is known as the <em>population</em> <em>group </em>or sometimes coined as the <em>universe</em>, to represent the group in its entirety.
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