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 					- Experiment, Sample Space and Random Event ![section 1.2.pdf](../assets/section_1.2_1686899993390_0.pdf)
 					- Events as Sets
 					- Definition of Classical Probability, Geometric Probability and Frequency ![section 1.3.pdf](../assets/section_1.3_1686900041785_0.pdf)
-						- Classical if
+						- **Classical** if
 							- 1. E contains only different limited basic events, that is,
 							  $$ Ω = \{ω1 , ω2 , · · · , ωn \}. $$
 							  We call this kind of sample space simple space, and
 							  2. all outcomes are equally likely to occur.
+						- **Geometric** if
+							- (i) the sample space is a measurable (such as length, area,
+							  volume, etc.) region, i.e., 0 < L(Ω) < ∞, and
+							- (ii) the probability of every event A ⊂ Ω is proportional to the
+							  measure L(A) and has nothing to do with its position and
+							  shape.
 					- Problems of Each Interpretation of Probability
 					- Similarity of the Above Interpretations of probability
 					- Summary