Introduction
Mouse diet
example 1 (t tests)
Chapter 5:
Analysis of Variance - Mouse Diet
Chapter 5:
Analysis of Variance - Spock Trial
Spock
Trial - example 1 (ANOVA)
Spock Trial
– extra SS example
Chapter
7: Simple Linear Regression Introduction
Simple Linear Regression –
calculations and SAS program
Chapter 8a:
Simple Linear Regression – Meeting assumptions 1
Chapter 8b:
Simple Linear Regression – Meeting assumptions 2
Chapter 8c:
Simple Linear Regression – Meeting assumptions 3
Chapter
9: Extra sums of squares
Chapter 9a:
Multiple regression 1 - (HTML)
Chapter 9b:
Multiple regression 2
Chapter
9c: Multiple regression (Extra SS)
Chapter 9c:
Multiple regression 3
Chapter 12:
Variable selection
Chapter 13:
Experimental Design
Assignment
5 Instructions - (HTML)
Assignment
6 Instructions - (HTML)
Assignment
8 Instructions - (HTML)
Assignment
9 Instructions - (HTML)
Assignment
10 Instructions - (HTML)
Assignment
11 Instructions - (HTML)
SAS PROGRAMS
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Example 1 |
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Example 2 |
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Example 3 |
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Mousefeed01 |
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Mousefeed02 |
assumptions |
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SpockTrial01a |
ANOVA |
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SpockTrial01b |
See: |
Spock 1a |
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extra
SS |
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Mouse
Diet03 |
Contrasts |
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Multiple
comparisons |
See: |
Mouse 3 |
LST |
HTML |
Comparisons |
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Discrimination
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see range |
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Hubble01
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PDF |
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Hubble02
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PDF |
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Island
species |
PDF |
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Intel
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PDF |
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Fluids
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PDF |
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Meadowfoam
1 |
PDF |
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Brain
size |
PDF |
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Bats
echolocation |
PDF |
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Wing
size |
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Meadowfoam
2 |
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Body
fat |
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Brain
size 1 |
PDF |
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Metabolism |
PDF |
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Brain
barrier |
PDF |
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Kentucky Derby |
PDF |
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Sexual
Discrimination |
PDF |
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State
SAT |
PDF |
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Air
pollution |
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Pygmalion |
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Seaweed |
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Chimpanzees |
PDF |
SAS |
LOG |
LST |
HTML |
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PDF |
SAS |
LOG |
LST |
HTML |
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I will be recording lectures and posting
as streaming video (when successful).
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Course outline |
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1) Review of background material, particularly hypothesis testing |
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2) Chapter 5. Comparisons Among Several Samples |
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Comparing any two means |
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Analysis of Variance |
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Extra Sums of squares |
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Related topics |
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3) Chapter 6. Linear Combinations and Multiple Comparisons of Means |
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Linear Combinations |
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Multiple Comparisons |
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Related topics |
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4) Chapter 7. Simple Linear Regression: A Model for the Mean |
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Fitting Simple Linear Regression |
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Testing Hypotheses |
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Simple Linear Regression |
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Related topics |
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5) Chapter 8. A Closer Look at Assumptions for Simple Linear Regression |
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Scatterplots |
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Assessment of fit |
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Related topics |
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6) Chapter 9. Multiple Regression |
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Fitting the model |
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Special variables |
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Related topics |
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7) Chapter 10. Inferential Tools for Multiple Regression |
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Inferences for regression coefficients |
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Testing extra sums of squares |
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Related topics |
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8) Chapter 11. Model Checking And Refinement |
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Residual plots |
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Influence diagnostics |
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Refining the model |
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Related topics |
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9) Chapter 12. Strategies for Variable Selection |
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Variable selection techniques |
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Evaluation criteria |
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Related topics |
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10) Chapter 13. The Analysis of Variance for Two-Way Classifications |
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Analysis of two-way models |
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Assessing the assumptions |
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Checking the additive model |
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Blocking |
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Related topics |
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11) Chapter 14. Multifactor Studies without Replication |
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Analysis with one observation per cell |
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Related topics |
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12) Additional Analysis of Variance topics (time permitting) |
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