Theorem 5.2.2 (Linearly Independence of Eigenvectors)

2.2.3 Expected Value

Probability: Find Probability from Contingency Table

1.3 Simpson's Paradox

1.4 Apportionment (Hamilton's method, Jefferson's method, and Webster's method)

Theorem 13.3.1 Curvature Formulas

Definition 13.3.1 Curvature

Theorem 5.2.4 (Geometric and Algebraic Multiplicity of Eigenvalue)

Theorem 5.2.3 (Eigenvalues of Powers of a Matrix)

Theorem 5.2.2 (Linearly Independence of Eigenvectors)

Theorem 5.2.1 (Determining If a Matrix Is Diagonalizable)

Theorem 5.1.5 (Equivalence Theorem)

Theorem 5.1.4 (Eigenvalue and Invertibility)