When you can measure what you are speaking about and express it in numbers you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of an unsatisfactory kind - Kelvin (1824-1907)

  • Syllabus, Al's email, Office Phone: 994-5145, Office: Barnard (EPS) 304, Office Hours and Schedule.
  • R resources:
  • Writing a statistical report for Data Analysis problems; Summary of Statistical Findings examples; Scope of Inference Writing examples
  • Other useful links:
  • Exams:
  • STAT511 Project
  • Homeworks:
  • Labs:
    • 2/20 Lab 7, working on HW7
    • 2/14 VALENTINES DAY LAB 6, working on HW6, chronic wound data
    • 2/7 Lab 5: A closer look at ANOVA table, F distribution, permutation and randomization ANOVA (PERMANOVA), notes
    • 1/31 Lab 4: checking for normality and the Box-Cox transform of 1-sample data, SOLUTIONS
    • 1/24 Lab 3, using RMarkdown: example: Rmd, doc, html
    • 1/17 Lab 2, working on HW2.
    • 1/10 Lab 1.pdf: the Rmarkdown file that generated Lab1.pdf; getting started with R; Download Rdownload RStudio; dairy data as: text, csv
  • Extra problems:
    • Chapter 6: p. 170 (answers on p. 175): #1, 4, 6-11.
    • Chapter 5: p. 141 (answers on p. 147): #1-4, 6-10, 12.
    • Chapter 3: p. 77 (answers on p. 84): #1-10, 14, 16, 17, 19.
    • Chapter 2: p.51 (answers on p.56): #1-10, 11b.
    • Chapter 1: p.22 (answers on p.26): #1-11, 15.
  • Course Schedule
    • 2/23 §6.4 Tukeys multiple comparisons after ANOVA
    • 2/21 §6.2 Testing linear combinations after ANOVA, notes
    • 2/19 PRESIDENT'S DAY - NO CLASS

    • 2/16 §5.6 Random effects ANOVA applied to the skull data with a cluster effect for Epoch
    • 2/14 §5.6 Kruskal-Wallis (non-parametric ANOVA), random effects ANOVA
    • 2/12 §5.2 Follow-up t-test for a planned comparison

    • 2/9 §5.3, 5.5 ANOVA model, checking ANOVA model assumptions with residuals, notes
    • 2/7 NO CLASS - but in Lab: A closer look at ANOVA table, F distribution, permutation and randomization ANOVA (PERMANOVA), notes
    • 2/5 §5.2-5.3 The basics of ANOVA; ANOVA as a comparison of reduced and full models,, Chapter 5 notes, skull data, diagANOVA.r

    • 2/2 §3.4 -3.5 Box Cox transform of 2 sample data, biofilm data, ROutput
    • 1/31 §3.2-3.3  Robustness to non-normality and non-independence, Resistance to outliers, Chapter 3 notes, timber data
    • 1/29 §2.3 Two-sample z- and t-tests: unpooled, pooled, paired, ROutput

    • 1/26 §2.3 t confidence intervals, two sample tests, ROutput
    • 1/24 §2.2 one-sample z-test and t-test, z confidence intervals, ROutput: pdf or Rmd, Chapter 2 notes
    • 1/22 §1.4, 2.2 permutation test for observational studies, a simulation model for random sampling, Central Limit Theorem
    • 1/19 §1.3 Randomization test for experiments, ROutput.
    • 1/17 §1.2 Study design, sampling plans, Scope of Inference
    • 1/15 NO CLASS: MARTIN LUTHER KING DAY!

    • 1/12 §1.2: t-test, inference, sampling distribution, R output, Chapter 1 notes
    • 1/10 Welcome!   Remember the Scientific Method?