Statistics 21, Fall 2012        LECTURE SCHEDULE and SUMMARIES     Shobhana Stoyanov
  1. Week 1 (8/23):
    • Reading: Chapters 1, 2
    • Course overview, discussion of syllabus
    • Ideas from chapters 1, 2 (Experiments vs Studies,
      Types of variables, Simpson's paradox)
    • Examples: Salk field trial, UC Berkeley graduate admissions,
      Green revolution, Lentils and vaccines

  2. Week 2 (8/28, 8/30):
    • Reading: Chapters 3, 4
    • Histograms (ch. 3)
    • Measures of center, spread, and position (ch. 4)
    • Example: VaR

  3. Week 3 (9/4, 9/6):
    • Quiz in section on Wed., chapters 3, 4
    • Reading: Chapters 5, 8, 9
    • Normal curve (ch. 5)
    • Correlation (ch. 8, 9)

  4. Week 4 (9/11, 9/13):
    • Reading: Chapters 9, 10, 11
    • Correlation and Regression (ch. 9, 10)
    • Regression (ch. 10,11)

  5. Week 5 (9/18, 9/20):
    • Quiz in section on Wed., chapters 5, 8, 9
    • Reading: Chapters 11, 12, notes
    • R.M.S. error for regression (ch. 11), the regression line (ch. 12)
    • Prediction, R-square

  6. Week 6 (9/25, 9/27):
    • Reading: Chapters 13, 14, 15
    • Probability (ch. 13, 14)
    • Independence and the Binomial formula (ch. 15)
    • Counting, permutations, combinations

  7. Week 7 (10/2, 10/4):
    • Midterm 1 in class on Tuesday, October 2 - chapters 1-5, 8-12
    • Reading: Chapter 16
    • Chance processes
    • Law of averages, box models, sum of draws

  8. Week 8 (10/9, 10/11):
    • Reading: Chapters 17, 18
    • EV, SE for sum, normal curve (ch. 17)
    • Careful normal approximation for probability histograms (ch. 18)

  9. Week 9 (10/16, 10/18):
    • Quiz in section on Wed., chapters 13, 14, 15
    • Reading: Chapters 19, 20
    • Sampling (ch. 19)
    • Chance errors in sampling (ch. 20)

  10. Week 10 (10/23, 10/25):
    • Reading: Chapters 21, 23
    • Confidence intervals for percents, averages (ch. 21, 23)

  11. Week 11 (10/30, 11/1):
    • 20 minute guest lecture on 11/1, details TBA
    • Reading: Chapter 22
    • Interpreting confidence intervals (ch. 21, 23)
    • Measuring employment and unemployment (ch. 22)

  12. Week 12 (11/6, 11/8):
    • Midterm 2 in class on Tuesday, November 6: chapters 13-23
    • Reading: Chapter 24
    • A model for measurement error
  13. Week 13 (11/13, 11/15):
    • Reading: Chapters 26, 27
    • Tests of significance, null and alternative hypotheses (ch. 26)
    • Small sample t-test (ch. 27)
    • SE for difference, 2 sample z-test (ch. 27)

  14. Week 14 (11/20, 11/22):
    • Reading : Chapters 28
    • Chi-squared test for goodness of fit, and independence (ch. 28)
    • No class Thursday 11/22 - Happy Thanksgiving!

  15. Week 15 (11/27, 11/29):
    • Quiz in section on Wed., chapters 26, 27, 28
    • Reading: Chapter 29
    • Closer look at significance tests (ch. 29)
    • Review, finish up

  16. Week 16:
    • RRR week

  17. Week 17:
    • FINAL EXAM Tuesday, 12/11, 3-6 pm, room TBA
Last modified: Wed Aug 22 13:57:20 PDT 2012