Completed
Balanced 2 Factor Factorial Design with Interaction (part 5/8): Contrasts
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
General Linear Models - Design of Experiments
Automatically move to the next video in the Classroom when playback concludes
- 1 Design of Experiments: Models Introduction
- 2 Design of Experiments: Projection Matrix onto c(X)
- 3 Design of Experiments: Projection Matrix onto c(X) Example
- 4 Design of Experiments: Least Square Estimator of Beta
- 5 Estimability (part 1/4): Necessary and Sufficient Conditions
- 6 Estimability (part 2/4): Unique Unbiased Estimator
- 7 Estimability (part 3/4): Gauss Markov Theorem
- 8 Estimability (part 4/4): Generating Estimable Functions
- 9 Design of Experiments: Estimating the Error Variance
- 10 1-way fixed-effects ANOVA (part 1/10): Model Development
- 11 1-way fixed-effects ANOVA (part 1/10): (Example) Model Development
- 12 1-way fixed-effects ANOVA (part 2/10): Estimating Parameters
- 13 1-way fixed-effects ANOVA (part 2/10): (Example) Estimating Parameters
- 14 1-way fixed-effects ANOVA (part 3/10): Partitioning the Sum of Squares
- 15 1-way fixed-effects ANOVA (part 3/10): (Example) Partitioning the Sum of Squares
- 16 1-way fixed-effects ANOVA (part 4/10): Sum of Squares Derivations
- 17 1-way fixed-effects ANOVA (part 4/10): (Example) Sum of Squares Derivations
- 18 1-way fixed-effects ANOVA (part 5/10): F Test and C.I.'s
- 19 1-way fixed-effects ANOVA (part 5/10): (Example) F Test and C.I.'s
- 20 1-way fixed-effects ANOVA (part 6/10): Unbalanced Case
- 21 1-way fixed-effects ANOVA (part 7/10): Contrasts
- 22 1-way fixed-effects ANOVA (part 7/10): (Example) Contrasts
- 23 1-way fixed-effects ANOVA (part 8/10): Contrasts with Normal Assumptions
- 24 1-way fixed-effects ANOVA (part 8/10): (Example) Contrasts with Normal Assumptions
- 25 1-way fixed-effects ANOVA (part 9/10): Orthogonal Contrasts
- 26 1-way fixed-effects ANOVA (part 9/10): (Example) Orthogonal Contrasts
- 27 1-way fixed-effects ANOVA (part 10/10): Partitioning SS(trt)
- 28 1-way fixed-effects ANOVA (part 10/10): (Example) Partitioning SS(trt)
- 29 1-way fixed-effects ANOVA (part 11/10): Residuals
- 30 1-way fixed-effects ANOVA (part 11/10): (Example) Residuals
- 31 1-way Random-Effects ANOVA(part 1/6): Model Development
- 32 1-way Random-Effects ANOVA(part 2/6): Distributional Properties of SS
- 33 1-way Random-Effects ANOVA(part 3/6): Another Proof for the Distribution for SS(trt)
- 34 1-way Random-Effects ANOVA(part 4/6): Variance Components Estimation
- 35 1-way Random-Effects ANOVA(part 5/6): F Test & C I's
- 36 1-way Random-Effects ANOVA(part 6/6): R Software
- 37 Repeated Measures 1-way fixed effects ANOVA (part 1/7): Model Development
- 38 Repeated Measures 1-way fixed effects ANOVA (part 2/7): Perpendicular Projection Matrices
- 39 Repeated Measures 1-way fixed effects ANOVA (part 3/7): Column Space of the Design Matrix
- 40 Repeated Measures 1-way fixed effects ANOVA (part 4/7): Partitioning the Sum of Squares
- 41 Repeated Measures 1-way fixed effects ANOVA (part 5/7): Distributional Properties of the SS.
- 42 Repeated Measures 1-way fixed effects ANOVA (part 6/7): Contrasts
- 43 Repeated Measures 1-way fixed effects ANOVA (part 7/7): R Software Illustrating Parts 1-6
- 44 Randomized Complete Blocks ANOVA (part 1/6): Model Development
- 45 Randomized Complete Blocks ANOVA (part 2/6): Projection Matrices and Column Spaces
- 46 Randomized Complete Blocks ANOVA (part 3/6): Sum of Squares and F-Test
- 47 Randomized Complete Blocks ANOVA (part 4/6): Estimability and Treatment Contrasts
- 48 Randomized Complete Blocks ANOVA (part 5/6): Random Treatment Effects
- 49 Randomized Complete Blocks ANOVA (part 6/6): R Software Illustration
- 50 The Regression Approach to ANOVA (part 1/4): Partial F Test
- 51 The Regression Approach to ANOVA (part 2/4): Type I, II, III, IV Sum of Squares
- 52 The Regression Approach to ANOVA (part 3/4): Balanced Designs
- 53 The Regression Approach to ANOVA (part 4/4): R Software Illustration
- 54 Balanced Incomplete Block Design (part 0/8): Rough Draft
- 55 Balanced Incomplete Block Design (part 1/8): Model Development
- 56 Balanced Incomplete Block Design (part 2/8): Column Spaces of the Design Matrix
- 57 Balanced Incomplete Block Design (part 3/8): Deriving the Least Squares Estimates
- 58 Balanced Incomplete Block Design (part 4/8): Sum of Squares Error and Partial F Test
- 59 Balanced Incomplete Block Design (part 5/8): Notation and Properties for Upcoming Contrast Videos
- 60 Balanced Incomplete Block Design (part 6/8): Estimability and Treatment Contrasts
- 61 Balanced Incomplete Block Design (part 7/8): Partitioning SS(trt) with Orthogonal Contrasts
- 62 Balanced Incomplete Block Design (part 8/8): R Software Illustration
- 63 Analysis of Covariance (part 1/9): Model Development
- 64 Analysis of Covariance (part 2/9): Column Spaces of the Design Matrix
- 65 Analysis of Covariance (part 3/9): Deriving the Least Squares Estimates
- 66 Analysis of Covariance (part 4/9): Sum of Squared Error and Partial F Tests
- 67 Analysis of Covariance (part 5/9): Estimability and Treatment Contrasts
- 68 Analysis of Covariance (part 6/9): Balanced 1-way fixed-effects ANOVA with 1 Covariate
- 69 Analysis of Covariance (part 7/9): Balanced Randomized Complete Block Design ANOVA with 1 Covariate
- 70 Analysis of Covariance (part 8/9): 1-way fixed-effects ANOVA w/ 1covariate
- 71 Analysis of Covariance (part 9/9): 2 Factor ANOVA w/ 2 covariate (NoInteraction)
- 72 Balanced 2 Factor Factorial Design without Interaction (part 1/7): Model Development
- 73 Balance 2 Factor Factorial Design without Interaction (part 2/7):Column Spaces of the Design Matrix
- 74 Balanced 2 Factor Factorial Design without Interaction (part 3/7): Partitioning the SS
- 75 Balanced 2 Factor Factorial Design without Interaction (part 4/7): Distribution of Sum of Squares
- 76 Balanced 2 Factor Factorial Design without Interaction (part 5/7): F Tests for Factor Effects
- 77 Balanced 2 Factor Factorial Design without Interaction (part 6/7): Contrasts
- 78 Balanced 2 Factor Factorial Design without Interaction (part 7/7): R Software Illustration
- 79 Balanced 2 Factor Factorial Design with Interaction (part 1/8): Model Development
- 80 Balanced 2 Factor Factorial Design with Interaction (part 2/8): Column Spaces of the Design Matrix
- 81 Balanced 2 Factor Factorial Design with Interaction (part 3/8): Partitioning the SS
- 82 Balanced 2 Factor Factorial Design with Interaction (part 4/8): Distribution of SS and F Tests
- 83 Balanced 2 Factor Factorial Design with Interaction (part 5/8): Contrasts
- 84 Balanced 2 Factor Factorial Design with Interaction (part 6/8): Random Effects Model
- 85 Balanced 2 Factor Factorial Design with Interaction (part 7/8): Random Effects Model F Tests
- 86 Balanced 2 Factor Factorial Design with Interaction (part 8/8): R Software Illustration
- 87 Hierarchical Designs (part 1/11): Model Development
- 88 Hierarchical Designs (part 2/11): Columns Spaces of the Design Matrix
- 89 Hierarchical Designs (part 3/11): Partitioning the SS
- 90 Hierarchical Designs (part 4/11): Distribution of SS and F Tests
- 91 Hierarchical Designs (part 5/11): Contrasts
- 92 Hierarchical Designs (part 6/11): Random Effects
- 93 Hierarchical Designs (part 7/11): Variance Components Estimation
- 94 Hierarchical Designs (part 8/11): 3 Stage Nested
- 95 Hierarchical Designs (part 9/11): Nested and Crossed
- 96 Hierarchical Designs (part 10/11): R Illustration of 2-Stage Nested Design
- 97 Hierarchical Designs (part 11/11): R Illustration of a Nested and Crossed Design
- 98 Split Plot Design (part1/10): Model Development
- 99 Split Plot Design (part 2/10): Design Matrix
- 100 Split Plot Design (part 3/10): Perpendicular Projection Matrices
- 101 Split Plot Design (part 4/10): Column Spaces of the Design Matrix
- 102 Split Plot Design (part 5/10): Best Linear Unbiased Estimate
- 103 Split Plot Design (part 6/10): Partitioning the Total SS
- 104 Split Plot Design (part 7/10): Expected SS
- 105 Split Plot Design (part 8/10): Distribution of SS
- 106 Split Plot Design (part 9/10): F Tests
- 107 Split Plot Design (part 10/10): R Illustration / Example