1. Lecture 19: Chapter 16 David Wallace Croft http://www.CroftSoft.com/people/david/ Statistics for Psychology 2005 Jul 15 Fri Copyright 2005 David Wallace Croft This work is licensed under the Creative Commons Attribution License 2.0. http://creativecommons.org/licenses/by/2.0/

2. Quiz Please mute your mobile phones Write your name on a blank standard size piece of paper Quiz will begin at 09:00 When done –Turn your paper over –Put your pen down Writing an answer after I say “Pens down” is cheating Pass your quizzes to the center

3. Outline Administrative Chapter 16 Emphasis Next Class Exam 6 Review Exam 7 Prep Questions

4. Administrative Exam 7 will be open book / open notes Exam 7 will cover previous material 50 questions total 25 questions on Chapters 1 through 4 25 questions on Chapters 15 and 16 Exam 8: Jul 25 Mon 09:00 Makeup Exams: Jul 27 Wed 09:00

5. Chapter 16 Integrating What You Have Learned: The General Linear Model Aron and Aron, “Statistics for Psychology”, 3 rd Ed., 2003.

6. Emphasis Look at it sideways Regression vs. Correlation Bivariate regression/correlation t is square root of F r can be used to compute t Assign numbers to nominal values Triangles Nominal coding Comparison to artificial neuron Causality

7. Neural Networks = Statistics Multiple Regression Ŷ = a + (b 1 )(X 1 ) + (b 2 )(X 2 ) + (b 3 )(X 3 ) General Linear Model Y = a + (b 1 )(X 1 ) + (b 2 )(X 2 ) + (b 3 )(X 3 ) + e Squared error: e 2 = ( Y – Ŷ ) 2 Neural network learning algorithms minimize Nonlinearity and interaction effects Correlation and Hebbian learning

8. Next Class Monday Open book exam on Chapters 1-4, 15, 16 Wednesday Quiz at start of class on Chapter 17 Friday Quiz at start of class on Chapter W3

9. Exam 6 Review Class Average ……….: 5.0 Standard Deviation ….: 1.16 High Score ……………: 8 Low Score …………….: 3

10. Exam 7 Prep Chapters 1-4, 15, 16 Open Book / Open Notes “Pens down” at 10:15 Mean, Median, and Mode Standard Deviation Nonlinear Transformation

11. Questions Don’t pack up to leave just yet Questions about lecture before we dismiss? Post additional questions to discussion electronic mailing list unless personal –http://egroups.com/group/utd-statistics