STAT411/5112  Methods of Data Analysis I  Spring 2018
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 (18241907)
 Syllabus, Al's email, Office Phone: 9945145, Office: Barnard (EPS) 304, Office Hours and Schedule.
 R resources:
 home page, download R, download RStudio (a nice R interface)
 help: web pages An Intro to R, SimpleR, printable pdfs: An Intro to R, SimpleR
 Writing a statistical report for Data Analysis problems; Summary of Statistical Findings examples; Scope of Inference Writing examples
 Other useful links:
 Stat Course Catalog
 Final exam schedule for Spring 2018
 Search classes
 Exams:
 STAT511 Project
 Homeworks:
 DUE 2/26 HW7
 DUE 2/21 HW6, chronic wound data
 DUE 2/12 HW5, SOLUTIONS: pdf or Rmd
 DUE 2/5 HW4, SOLUTIONS
 DUE 1/29 HW3, grading scheme
 DUE 1/22 HW 2, pregnancy and pot use article, SOLUTIONS
 DUE 1/17 HW 1, turn in answers to questions #18 from Lab 1: copy and paste the questions into a new document, then enter your R code and output under each question.
 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 BoxCox transform of 1sample 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 R; download RStudio; dairy data as: text, csv
 Extra problems:
 Chapter 6: p. 170 (answers on p. 175): #1, 4, 611.
 Chapter 5: p. 141 (answers on p. 147): #14, 610, 12.
 Chapter 3: p. 77 (answers on p. 84): #110, 14, 16, 17, 19.
 Chapter 2: p.51 (answers on p.56): #110, 11b.
 Chapter 1: p.22 (answers on p.26): #111, 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 KruskalWallis (nonparametric ANOVA), random effects ANOVA
 2/12 §5.2 Followup ttest 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 §5.25.3 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 §3.23.3 Robustness to nonnormality and nonindependence, Resistance to outliers, Chapter 3 notes, timber data
 1/29 §2.3 Twosample z and ttests: unpooled, pooled, paired, ROutput

 1/26 §2.3 t confidence intervals, two sample tests, ROutput
 1/24 §2.2 onesample ztest and ttest, 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!