Bayes' theorem follows directly from the definition of conditional probability: P(A|B) = P(A∩B)/P(B) and P(B|A) = P(A∩B)/P(A), equating the expressions for P(A∩B).
Explanation:
Population variance = 100/10 = 10. Sample variance would be 100/9≈11.11, but question likely assumes population. I'll specify 'if data is population', but not specified. I'll assume population for simplicity.
Explanation:
GRR counts only female births; GRR=1.0 indicates each woman has exactly one daughter on average, suggesting potential replacement of the female population if mortality is ignored.
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