Все публикации

0:43:08

Probability: Find Probability from Contingency Table

1:10:15

1.3 Simpson's Paradox

1:10:08

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

0:10:19

Theorem 13.3.1 Curvature Formulas

0:03:30

Definition 13.3.1 Curvature

0:13:27

Theorem 5.2.4 (Geometric and Algebraic Multiplicity of Eigenvalue)

0:03:25

Theorem 5.2.3 (Eigenvalues of Powers of a Matrix)

0:09:07

Theorem 5.2.2 (Linearly Independence of Eigenvectors)

0:05:08

Theorem 5.2.1 (Determining If a Matrix Is Diagonalizable)

0:02:20

Theorem 5.1.5 (Equivalence Theorem)

0:03:28

Theorem 5.1.4 (Eigenvalue and Invertibility)

0:02:50

Theorem 5.1.3 (Equivalent Statements for Eigenvalue)

0:02:28

Theorem 5.1.2 (Eigenvalues of Triangular Matrices)

0:02:51

Theorem 5.1.1 (Characteristic Equation for Eigenvalues)

0:01:24

Theorem 4.9.5 (Matrix and Its Transpose Have the Same Rank)

0:03:07

Theorem 4.9.4 (A Property of Consistent Linear Systems)

0:07:08

Theorem 4.9.3 (Interpretation of Rank and Nullity)

0:04:06

Theorem 4.9.2 (Dimension Theorem for Matrices)

0:03:49

Theorem 4.9.1 (Row and Column Spaces Have Equal Dimensions)

0:08:36

Theorem 4.8.5 (Elementary Row Operations Do Not Change Dependency Relationships between Columns)

0:06:14

Theorem 4.8.4 (Row Space and Column Space of a Matrix in Row Echelon Form)

0:07:54

Theorem 4.8.3 (Elementary Row Operations Do Not Change Row Space and Null Space of a Matrix)

0:03:19

Theorem 4.8.1 (Column Space)

0:09:15

Theorem 4.7.1 (Invertibility of Transition Matrices)