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Explain what is meant by the terms "parametric" and "non-parametric" in statistics, and describe the key differences between these two approaches?

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Statistics

Compare underlying assumptions, flexibility, data requirements, and use cases for both approaches with concrete examples.

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Statistics question

Statistics questions assess your understanding of data analysis principles. Show your knowledge of probability, statistical inference, experimental design, and how you apply quantitative methods to interpret data and draw valid conclusions.

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