Stat 513 - Lectures Notes

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Stat 513 data files

Monday Tuesday Wednesday Thursday
Day 1: Preview (ppt)
  • Syllabus (doc)
  • Lab 1 (doc)
  • Typo in Preliminaries, first VRM should have wages explained by race

To Do:

  • Initial Course survey in PolyLearn
  • Pre-assessment
  • Submit Lab 1 (with partner) by noon
Day 2: Explaining variation, confounding (ppt)
  • handout (doc)

To Do:

  • Be working on HW 1
  • Start reading Ch. 1
Day 3: Statistical inference
  • Exploration 1.1 
    • Lab 2 due Tuesday
    • Multiple Means applet
    • Memory data
Day 4: Randomization Tests (1.1)
No classes Day 5: Two-sample t procedures (1.3)

To Do:

  • Be working on HW 2
Day 6: Bootstrapping (1.2)
  • Exploration 1.2
Day 7: Multiple groups (2.1)

To Do:

  • Be finishing on HW 2
  • Start reading Ch. 2 (Sec 2.1 posted)
Day 8: Statistics comparing multiple means

To Do:

Day 9: ANOVA details (2.2)
Extra:
Day 10: Block designs (2.3)
Day 11: Block designs (2.3)

To Do:

  • Submit HW 3
  • Be finishing Lab 4
  • Finish reading Ch. 2
Day 12: Observational studies- adjusted differences (2.4)
Day 13: Observational studies - adjusted sums of squares (2.4)
Day 14: Power
Example review questions
solutions
Review handout
Exam 1
Day 15: Factorial Designs and Interactions (3.1)
Day 16: Estimating Interaction Effects (3.2)
  • handout (doc) (ppt)
  • Read Section 3.2
  • See model lab 6 in PolyLearn

To Do:

  • Submit project proposal
Day 17: Theory-based test and Residual analysis (3.3)
To Do:
  • Peer review project proposal (due Monday)

Day 18: Loose ends

To Do:

  • Submit HW 4
Day 19: Observational data (3.4)

To Do:

  • Start HW 5
  • Submit proposal review
Day 20: Review of Simple Linear Regression (4.1)

To Do:

  • Submit Lab 9
Day 21: Significance Tests (4.2)

To Do:

  • Be reading Ch. 4 
Day 22: Inference for Regression (4.3)

To Do:

  • Submit HW 5
  • Continue reading Ch. 4
No Classes!
Day 23: Prediction intervals (4.3)

To Do:

  • Read Section 4.4
  • Example 2
Day 24: Interactions with categorical variables (4.5)
  • Office hour: 10-11
  • Lab 11: Exploration 4.5 (doc)

To Do:

Day 25: Interactions cont.

To Do:

  • Finish reading Ch. 4
  • Start Lab 12? (to be posted)
  • Review handouts to be posted
Day 26: Multiple Category  Variables (4.6)

To Do:

  • Submit HW 6
  • Continue Lab 12
Day 27: Review

To Do:

  • Finish reading Ch. 4
  • Continue reviewing Q&A in PolyLearn
Day 28: Practice

To Do:

  • Submit Lab 12
Exam 2

To Do:

  • Choose analysis methods for your project data
  • Identify any research questions that don't match our current methods
  • No Friday office hour this week
Day 29: Multiple Quantitative Variables (5.1)

To Do:

  • Start HW 7
  • Read Section 5.1
Day 30: Interactions (5.2)

To Do:

  • Read Section 5.2
  • Review Exam 2 solutions in PolyLearn
Day 31: Response surface
Day 32: Polynomial models (5.3)

To Do:

  • Submit HW 7
  • Read Section 5.3
Day 33: Data transformations (5.4)

To Do:

  • Read Section 5.4
No office hours today
Day 34: Logistic Regression (5.5)

To Do:

  • Odds Ratios (doc)
Day 35: Logistic Regression
To Do:
  • Read Section 5.5
Day 36: Wrap Up
  • (ppt)
  • See also "Graphical Excellence in Scientific Papers"  and Zhu et al paper on Data Cleaning (in PolyLearn)
  • Course Evaluation II
Office hour: 12-2

Final exam review handout (with lab commentary)
Final review problems
solutions 
Office hour: 12-2Office hour: 9-11