The independence assumption refers to the belief that the observations or data points in a study are not influenced by one another. This concept is crucial for valid statistical analysis, as it allows researchers to make inferences about populations from sample data without the confounding effects of dependencies. When testing hypotheses, maintaining this independence is key to ensuring that the conclusions drawn from null and alternative hypotheses are reliable and valid.
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