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The 2 variables are stated to get correlated; having said that, they might or might not be the reason for one another. The correlation phenomena may be brought on by a 3rd, Beforehand unconsidered phenomenon, referred to as a lurking variable or confounding variable. Because of this, there's no way to instantly infer the existence of a causal partnership between the two variables. Purposes[edit]

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g., blunder, which include when an analyst studies incorrect models) also can occur. The existence of missing data or censoring might bring about biased estimates and particular strategies are actually developed to deal with these problems.

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A statistic is often a random variable that is a function from the random sample, but not a function of unknown parameters

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