Requires → ProbabilityEvidenceEditorial suggested sequence; verify the course context. [probability-statistics]
Leads to → Bayes theoremEvidenceEditorial suggested sequence; verify the course context. [probability-statistics]
Explanation → Conditional probabilityEvidenceCandidate from reviewed zh material v2: P(B|A) 被描述为 A 区域中也属于 B 的分数，P(A|B) 被描述为 B 区域中也属于 A 的分数。正方形图通过将一个比例嵌套在另一个比例中来使这一点精确化。
Explanation → Conditional probabilityEvidenceCandidate from reviewed en material v1: Restrict the sample space to A, then measure B within it. The formula requires P(A)>0. The events must be defined separately in each example.
Explanation → Conditional probabilityEvidenceCandidate from reviewed zh material v1: 把样本范围限制到A，再计算其中B的比例；公式要求P(A)>0。两个例题中须分别定义事件。
Explanation → Conditional probabilityEvidenceCandidate from reviewed en material v2: P(B|A) is described as the fraction of the A-region that also belongs to B, and P(A|B) as the fraction of the B-region that also belongs to A. The square diagrams make this precise by nesting one proportion inside another.
Content location → Conditional probabilityEvidenceCandidate from reviewed zh material v2: P(B|A) 被描述为 A 区域中也属于 B 的分数，P(A|B) 被描述为 B 区域中也属于 A 的分数。正方形图通过将一个比例嵌套在另一个比例中来使这一点精确化。
Content location → Conditional probabilityEvidenceCandidate from reviewed en material v2: P(B|A) is described as the fraction of the A-region that also belongs to B, and P(A|B) as the fraction of the B-region that also belongs to A. The square diagrams make this precise by nesting one proportion inside another.
Content location → A quick proof of Bayes’ theorem | 3Blue1BrownEvidenceCandidate from reviewed zh material v2: P(B|A) 被描述为 A 区域中也属于 B 的分数，P(A|B) 被描述为 B 区域中也属于 A 的分数。正方形图通过将一个比例嵌套在另一个比例中来使这一点精确化。
Explanation → Conditional probabilityEvidenceCandidate from reviewed zh material v2: P(B|A) 被描述为 A 区域中也属于 B 的分数，P(A|B) 被描述为 B 区域中也属于 A 的分数。正方形图通过将一个比例嵌套在另一个比例中来使这一点精确化。
Content location → Conditional probabilityEvidenceCandidate from reviewed en material v1: Restrict the sample space to A, then measure B within it. The formula requires P(A)>0. The events must be defined separately in each example.
Content location → Conditional probabilityEvidenceCandidate from reviewed zh material v1: 把样本范围限制到A，再计算其中B的比例；公式要求P(A)>0。两个例题中须分别定义事件。
Explanation → Conditional probabilityEvidenceCandidate from reviewed en material v1: Restrict the sample space to A, then measure B within it. The formula requires P(A)>0. The events must be defined separately in each example.
Content location → A quick proof of Bayes’ theorem | 3Blue1BrownEvidenceCandidate from reviewed en material v2: P(B|A) is described as the fraction of the A-region that also belongs to B, and P(A|B) as the fraction of the B-region that also belongs to A. The square diagrams make this precise by nesting one proportion inside another.
Explanation → Conditional probabilityEvidenceCandidate from reviewed en material v2: P(B|A) is described as the fraction of the A-region that also belongs to B, and P(A|B) as the fraction of the B-region that also belongs to A. The square diagrams make this precise by nesting one proportion inside another.
math