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A: Common misconceptions about statistics include assuming correlation implies causation, mistaking statistical significance for practical significance, and overlooking the importance of context in interpreting data. Educating individuals about the limitations and nuances of statistical analysis can help address these misconceptions and promote a more informed understanding of data.