When Should You Pool Stats
3 Answers. It’s Appropriate Whenever the Elements You’re Pooling Together Are Homogeneous with Respect to the Parameters You’re Estimating. Specifically, This...
3 Answers. It’s appropriate whenever the elements you’re pooling together are homogeneous with respect to the parameters you’re estimating. Specifically, this means that, if the model underlying each component is the same, with the same parameter values, then it is fine to pool the data.
Why do you pool in statistics?
In statistics, “pooling” describes the practice of gathering together small sets of data that are assumed to have the same value of a characteristic (e.g., a mean) and using the combined larger set (the “pool”) to obtain a more precise estimate of that characteristic.
Why do you pool samples?
Pooled testing is a screening approach that combines samples from some number of people into one test. The pooled sample is tested first. If negative, all members of the pool can be given a negative result immediately, saving the cost of testing each individual one at a time.
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