Assumptions of tests refer to the specific conditions and criteria that must be met for statistical tests to produce valid and reliable results. These assumptions ensure that the conclusions drawn from hypothesis testing are credible, as violating them can lead to inaccurate interpretations or erroneous results. Understanding these assumptions is critical for selecting the appropriate test and for interpreting its outcomes accurately.
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