STAT 410/511: Methods of Data Analysis I (Spring 2013)

Instructor: John Borkowski

Text: "The Statistical Sleuth" (2002) by Ramsey and Schafer (Second edition). Publisher: Duxbury. 2008.

Class: Monday, Wednesday, Friday 11:00-11:50, 1-144 Wilson Hall.

Office: 2-263 Wilson Hall (994-4606)

Office Hours: Monday 2:00-3:00, Tuesday 12:00-1:00, Thursday 12:00-1:00, and by appointment

Email: jobo@math.montana.edu

  • Course Syllabus

  • The course notes, homework assignments, R code, and data sets will be posted as the course progresses.

    Stat 511 Materials:

  • Stat 511 Project Assignment I

  • Description of Stat 511 Project

    Materials on Writing a Statistical Report

  • Writing a Statistical Report

  • Scope of Inference Writing Examples

  • Writing a Summary of Statistical Findings

  • A Sample Report from Spring 2012

    Course Notes:

  • Chapter 1 notes

  • Chapter 2 notes

  • Chapter 3 notes

  • Chapter 4 notes

  • Chapter 5 notes

  • Chapter 6 notes

  • Chapter 7 notes

  • Chapter 8 notes

  • Chapter 9 notes

  • Chapter 10 notes

  • Chapter 11 notes

    R handouts with associated R code and data sets:

  • R Handout #1: An Introduction to R

  • R code from Handout #1

  • Data from first day of class.

  • R Handout #2: Histograms, Boxplots, Stem-and-Leaf Plots, and Scatterplots

  • R code from Handout #2

  • R Handout #3: Confidence Intervals and Hypothesis Tests for mu

  • R code from Handout #3

  • R Handout #4: Confidence Intervals and Hypothesis Tests for mu1 - mu2

  • R code from Handout #4

    Homework Assignments and related files:

  • Homework #1 (Due Wednesday January 16)

  • Homework #1 Solutions

  • Homework #2 (Due Monday January 28)

  • Homework #2 R code

  • Homework #2 data set Guesses.txt

  • Homework #3 (Due Friday February 1)

  • Homework #3 Solutions

  • Homework #4 (Due Wednesday February 6)

  • Homework #4 Solutions

  • Stat 511 Project Assignment I

  • Homework #5 (Due Wednesday February 13)

  • R code with data for Homework #5, Problem 1.

  • R code with data for Homework #5, Problem 2.

    Exam-related files:

  • Exam 1 Part I

  • Topics for Exam 1 Inclass Part

    R code from Course Notes:

  • R code for taking a SRS (file takesrs.r) (page 9)

  • R code for random assignment to two groups (file assign2.r) (page 10)

  • R code for Randomization Test for Motivation and Creativity Study (file haiku.r) (pages 19-20)

  • R code for Permutation Test for Sex Discrimination and Salary Study (file salary.r) (page 24)

  • R code for one-sample CIs and t-test (file ttest1.r) (pages 34-37)

  • R code for t* value for CI (file tstar.r) (page 40)

  • R code for p-value for two-sample test (file pvaluet2.r) (page 42)

  • R code for two-sample t-test for burntime example (file burntime.r) (page 43)

  • R code for two-sample CI and t-test for Creativity and Motivation study (file ttest2.r) (page 44)

  • R code for boxplots and histograms for Cloud Seeding study (original and log scales) (file clouds.r) (pages 47-48)

  • R code for Simulation to Study Assumptions (file chap3.r) (page 55)

  • R code for taking logarithms and making a backtransformation (file backtran.r) (pages 57-58)

  • R code for tuition example (file tuition.r) (page 60)

  • R code for the Sign Test (file signtest.r) (page 66)

  • R code for the Sign Test for paired data (file schiz.r) (page 68)

  • R code for the Signed=Rank Test (file wilcoxon.r) (page 72)

  • R code for the Signed-Rank Test for paired data (file judges.r) (page 74)

  • R code for the (Wilcoxon) Rank-Sum Test (file ranksum.r) (page 78)

  • R code for Welch's Test (file welch.r) (page 80)

  • R code for Levene's Test (file levene.r) (page 81)

  • ANOVA R code for Diet Restriction and Longevity Study (file micediet.r) (pages 94-95)

  • ANOVA R code for Mixing Technique Example (file anovaex2.r) (pages 98,100)

  • R code for Levene's Test fir Mixing Technique Example (file levene2.r) (page 101)

  • R Code for Pairwise Comparisons for Diet Restriction and Longevity Study (file pairwise.r) (pages 102-103)

  • R Code for Random Effects Example (file random.r) (page 107)

  • R Code for Kruskal-Wallis Test (file kw.r) (page 110)

  • R Code for Discrimination against the Handicapped Study (file handicap.r) (pages 113, 117-119, 122-123, 125-127)

  • R Code for the Pre-existing Preferences of Fish Study (file fish.r) (page 115)

  • R Code for multiple comparison tests (file mct_jrc.r)

  • R Code for the Big Bang Study (file bigbang.r) (pages 132, 137, 138, 140-141)

  • R Code for the Meat Processing and pH Experiment (file meatproc.r) (page 144)

  • R Code for Zero Correlation Example (file zerocorr.r) (page 147)

  • R Code for the residual plots for the Big Bang Study (file bigbang2.r) (page 153)

  • R Code for the Insulating Fluid Experiment (file fluid.r) (page 157)

  • R Code for the Egg Clutch Weight Data (file dino.r) (page 162)

  • Egg Clutch Weight data set (file dino.dat)

  • R Code for the Lack-of-Fit Test (file platyreg.r) (pages 167-168)

  • R Code for Bad SLR with High R-square (file rsquare.r) (page 171)

  • Multicollinearity example (file multicol.r) (page 177)

  • Corn yield data -- Adding a squared term for curvature (file corn.r) (page 178)

  • Corn yield data set (file corn.dat)

  • Meadow foam data -- Adding an indicator variable (file meadow.r) (page 181)

  • Meadowfoam data set (file flowers.txt)

  • Strength/Diameter/Machine study -- Adding multiple indicator variables (file machine.r) (pages 182,185,186)

  • Strength/Diameter/Machine study -- Interaction model (file machine2.r) (page 190)

  • Matrix of scatterplots, jittered scatterplots, and trellis plots for brain weight data (file brain.r) (page 196)

  • Brain weight data set (file brainwt.csv)

  • R code for bat echolocation study (file echobat.r)

  • Interpreting statistical significance example (file echobat2.r) (pages 206-207)

  • R code to generate values for the ESS F-tests (file echobat1.r) (page 209)

  • R code for the Alcholism Metabolism study (file alco1.r) (pages 216,219,222)

  • R code for trellis plot for the Alcholism Metabolism study data (file alco2.r) (page 220)

  • R code for case influence statistic plots for the Alcholism Metabolism study (file alco3.r) (page 224)

  • R code for weighted least squares example (file wls.r) (page 229)