Chad Ellefson

Probability & Statistics Week 11 - Regression and Inference of Linear Models

Probability & Statistics Week 10 - Chi-Square and ANOVA

Probability & Statistics Week 9 - Two Sample Hypotheses Tests

Probability & Statistics Week 8 - One Sample Hypotheses Tests

Probability & Statistics Week 7 - Confidence Intervals

Probability & Statistics Week 5 - The Normal Distribution

Probability & Statistics Week 4 - Random Variables and the Binomial Distribution

Probability & Statistics Week 3 - Probability

Probability & Statistics Week 2 - Measures of Center, Spread, and Position

Probability & Statistics Week 1 - Sampling Methods, Experimental Design, Graphical Representations

7.3 Symmetric Matrices and Orthogonal Diagonalization

7.1 Eigenvalues and Eigenvectors

7.2 Diagonalization

6.4 Transition Matrices and Similarity

6.5 Applications of Linear Transformations

6.3 Matrices for Linear Transformations

6.2 Kernel and Range of a Linear Transformation

6.1 Introduction to Linear Transformations

5.3 Orthonormal Bases

5.2 Inner Product Spaces

5.1 Length and Dot Product in R^n

4.7 Coordinates and Change of Basis

4.6 Rank of a Matrix

4.5 Basis and Dimension

4.4 Spanning Sets and Linear Independence

4.2 Vector Spaces

4.1 Vectors in R^n

3.4 Applications of Determinants

3.3 Properties of Determinants

3.2 Determinants and Elementary Operations