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In statistics, data collection methods can be broadly categorized into primary and secondary methods. Primary data collection involves gathering new data directly from sources through techniques such as surveys, experiments, interviews, and observations. Secondary data collection, on the other hand, involves analyzing existing data that has been previously collected, such as databases, reports, and academic papers. Both methods aim to ensure data is accurate, reliable, and relevant to the research question at hand.

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