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Fair use requires a four-part analysis: purpose of the use, nature of the work, amount used, and potential market harm. Section 107 mentions potential uses including: criticism, news reporting, teaching (including multiple copies for classroom use), scholarship, and research purposes.
What Is Fair Sampling? Accurate, well-drawn samples can be established using several diverse methods. Ideally, these sampling methods make representative assessments of trends within a population of interest. These conditions constitute fair sampling.
Your method of choice will depend on your research objectives. If youre looking for unbiased representation, then simple random sampling may be your tool of choice, which will ensure that every member has an equal chance of being chosen.
A simple random sample is meant to be an unbiased representation of a group. It is considered a fair way to select a sample from a larger population, as every member of the population has an equal chance of getting selected. Therefore, it has less chance of sampling bias.
A random sample is likely to give you a sample that is representative of the population. A random sample is a fair way to select a sample, because each person in the population has an equal chance of being selected. If you use a random sample, the sample mean will always be the same as the population mean.
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By obtaining permission from the original musician or owner of the rights to the music, many musicians can avoid legal trouble, such as an injunction not to use the sample or even monetary damages.

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