Explanation:
In Bayesian inference, P(A) is the prior probability, representing initial belief about hypothesis A before observing evidence B; P(A|B) is the updated posterior probability.
Explanation:
Stratified sampling divides the population into homogeneous subgroups (strata) and samples from each, ensuring representation of all key segments and improving precision for subgroup analysis.
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