General Information

• Professor: Howard Wainer, hwainer@nbme.org
  • Office: 432 NBME (3750 Market St.); Office hours: Tues & Thurs 4:30-5:30pm and by appointment
• TA: Dongyu Lin, dongyu@wharton.upenn.edu
  • Office: 427.1 JMHH; Office hours: Wednesday 10:00am-12:00pm and by appointment
• Syllabus
• Course Outline with Readings
• Reading List
• Assignments
• Important Dates:
  • March 6: Thursday, 3:00-4:20pm, Midterm I
  • April 8: Tuesday, 3:00-4:20pm, Midterm II
  • May 7: Wednesday, 9:00-11:00am, Final @ G50 JMHH

Schedule (TTh 3:00-4:30pm G50 JMHH)

• Jan 17: Why study statistics? Finding terrorists and Type II errors. Lecture Notes. (Read Vasilescu&Wainer05, GD chapter 22) Start working on assignment 1.
• Jan 22: The most dangerous equation. (Read Wainer07, Savage&Wainer08)
• Jan 24: Causal Inference - 1: Rubin's Model. (Read Holland86a, Holland86b) Start working on assignment 8.
• Jan 29: How to display data badly - 1: Rules 1-6. (Read VR chapter 1)
• Jan 31: How to display data badly - 2: Rules 7-12. (Read Arbuthnot1710) Start working on assignment 2.
• Feb 5: History of graphics - Playfair, Minard, Galton, Marey. (Read GD pps1-58)
• Feb 7: Multivariate display. Lecture Notes. (Read Wainer83, GD 115-141) Start working on assignment 3. (Sample Plots: Scatterplot-smooth-linear fit Residuals)
  • Multivariate States Data: Multivariate States Data Sorted residuals 95 951
  • NAEP Data: Table 1, 3 and 4 2 and 5 5a 6 7 11 12 and 13
• Feb 12: Scatterplotss & Smoothing. (Read EDA Chapter 7 pps 205-227, Friendly&Wainer04, M&M 2.1)
  • Hodgkin's Data: 53h Twice Demo
• Feb 14: Regression - 1: Standard linear Least Squares fitting. (Read M&M 2.2, 2.3, 10.1)
• Feb 19: Regression - 2: Robust linear fitting (compare with LS). (Read EDA Chapter 5) Start working on assignment 4. (Related Reading: Curbstoning Article)
• Feb 21: Transformations - 1: Univariate to symmetry. (Read EDA Chapter 3)
• Feb 26: Transformations - 2: Bivariate to linearity. (Read EDA Chapter 6) Start working on assignment 5. (Sample Plots: Piecewise log-linear)
• Feb 28: Nonlinear Regression - Logistic fitting of growth data. (Read M&M 15.1)
  • Example: The great storm of 2006
• Mar 4: Review class for first exam.
• Mar 6: First Course Examination. Solutions.
• Mar 11&13: Spring Break - No Class.
• Mar 18: Go over exam + Multiple Regression. Lecture Notes. (Read Wainer76, M&M 11) Start working on assignment 6. (Related Reading: Giant Article)
  • Data: Body Fat Table 1 Original Data
• Mar 20: Tabular display. Lecture Notes. (Read VR Chapter 10)
• Mar 25: Two-way tables - 1: EDA decomposition. Lecture Notes. (Read EDA Chapters 10&11) Start working on assignment 7.
• Mar 27: Two-way tables - 2: Testing for independence. (Read M&M 9.2)
  • Data: Two way decomposition of schools
• April 1: Analysis of Variance - 1: 1-way. Lecture Notes. (Read M&M 12.1) Start working on assignment 9.
• April 3: Analysis of Variance - 2: 2-way. Review class for second exam. (Read M&M 13.1)
  • Example: 2-way ANOVA with interactions
• April 8: Second Course Examination. Testing.
• April 10: Multiple comparisons - Bonferroni. (Read M&M 12.2) Start working on assignment 10.
  • Example: Hygiene and Avian Flu
• April 15: Analysis of Covariance. Lecture Notes.
• April 17: Simpson's Paradox. Lecture Notes. (Read Wainer&Brown07, Simpson51, GD Chapter 9) Start working on assignment 11.
• April 22: Kelly's Paradox and Lord's Paradox. Lecture Notes. (Read GD Chapter 10, Lord67, Wainer&Brown04)
• April 24: Similarity. Lecture Notes.
• April 29: Review class for final exam. Final Take-home part due!
• May 7: 9:00-11:00am, Final Exam.