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assets/section_1.5_1686903326304_0.edn

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-{:highlights [], :extra {:page 5}}
+{:highlights [{:id #uuid "648c1a97-e67b-471b-b07f-ae24970d60f6",
+               :page 5,
+               :position {:bounding {:x1 56.686195373535156,
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pages/hls__section_1.5_1686903326304_0.md

@@ -1,2 +1,8 @@
 file:: [section_1.5_1686903326304_0.pdf](../assets/section_1.5_1686903326304_0.pdf)
 file-path:: ../assets/section_1.5_1686903326304_0.pdf
+
+- Definition
+  ls-type:: annotation
+  hl-page:: 5
+  hl-color:: blue
+  id:: 648c1a97-e67b-471b-b07f-ae24970d60f6

pages/总复习2023t1.md

@@ -2670,8 +2670,7 @@
 						- ==For every two events A and B,==
 						  $$P (A ∪ B) = P (A) + P (B) − P (AB)$$
 						- ![image.png](../assets/image_1686901846112_0.png)
-					- The Definition of Conditional Probability ![section 1.5.pdf](../assets/section_1.5_1686903326304_0.pdf)
-					-
+					- The ((648c1a97-e67b-471b-b07f-ae24970d60f6)) of Conditional Probability ![section 1.5.pdf](../assets/section_1.5_1686903326304_0.pdf)
 					- The Multiplication Rule
 					- Total Probability Formula
 					- Bayes’ Theorem