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Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same.

A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples.

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Q: What is a difference between a pooled variance and a combined variance?

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When data is homogeneous over k independent samples of size n_i for i=1,2,...,k, the pooled variance is given by s_p^2=((n_1-1) s_1^2+(n_2-1) s_2^2+⋯(n_k-1) s_k^2)/(n_1+n_2+⋯+n_k-k)

Pooled interdependency is when the combined output is a result of all entities' output (the outputs are pooled into one combined output), but where the output of one is not dependent on the output of the others. Sequential interdependency is when the output of one entity is reliant on the output of the other; the one entity cannot start producing its output until it has received the output of the other. Last, reciprocal interdependency is when the output is produced via a collaboration of all entities, and where all entities are dependent on each other in order to produce the optimal output.

A pooled editorial is one that is compiled and written by many different editors.

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The pooled quota means a waiting list for a train ticket. These are usually seen in a small group of cities in smaller countries.

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