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In statistics, "N" typically represents the total number of observations or the size of the population being studied, while "n" denotes the sample size, which is the number of observations drawn from that population for analysis. The distinction is important because conclusions drawn from a sample (n) are often used to infer characteristics about the larger population (N). Understanding the difference helps in applying statistical methods correctly and assessing the reliability of results.

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