Standard Error & the Central Limit Theorem

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Crucial distinction: SD (spread of individuals) vs SEM (precision of the mean estimate). SEM = SD/√n. Larger n → smaller SEM → narrower CIs. CLT: sample means are normally distributed even if the underlying data isn't. This underpins CIs and significance testing. Exam tip: SD describes the sample, SEM describes confidence in the mean.

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