Vital Statistics Probability and Statistics for Economics and Business

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Presentation transcript:

Vital Statistics Probability and Statistics for Economics and Business William H. Sandholm University of Wisconsin-Madison Brett A. Saraniti Northwestern University Chapter 2 Probability Models

Figure 2.1: A Venn diagram.

Figure 2.2: Basic definitions presented using Venn diagrams.

Figure 2.3: A partition of S.

Figure 2.4: Probability diagram for the Neofuturists example.

Figure 2.5: The conditional probability axioms.

Figure 2.6: The conditional probability formula.

Figure 2.7: The total probability rule.

Figure 2.8: Bayes’ rule in pictures.

Figure 2. 9: Independent events: P(A) =. 6 × 1 =. 6, P(B) = 1 ×. 2 = Figure 2.9: Independent events: P(A) = .6 × 1 = .6, P(B) = 1 × .2 = .2, P(A ∩ B) = .6 × .2 = .12.

Figure 2.10: Probability diagram for the Linda problem.

Figure 2.11: Probability diagrams for the Monty Hall problem.