Assumptions are the underlying beliefs or conditions taken for granted when conducting statistical analysis. They are critical because they help define the context in which statistical methods are applied and influence the interpretation of results. Understanding these assumptions ensures that analyses are valid and reliable, which is vital for accurately communicating findings.
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