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Statistical hypothesis testing plays a central role in data analysis as it provides a structured framework for making decisions about data under uncertainty. In the field of data science and big data, where vast amounts of information are processed and analyzed, hypothesis testing helps in validating assumptions, comparing groups, and determining whether observed patterns are statistically significant or simply due to random chance. It enables analysts to test claims about populations based on sample data, making it an essential tool for evidence-based decision-making in domains ___ ______ ______ ___ ______ ________ ___ _______ ________ __________ ______.
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