STAT 452 - STATISTICAL METHODS


Instructor

Syllabus

Office Hours



  • Monday (3-5)
  • Tuesday (1-3)
  • Thursday (11-1, 3-5)

Homework Assignments

Note: To download an R file, right-click the file and select "Save Target As" or "Save Link As".

Assignment Solutions R Data R Code Due Date
Homework #1 Solutions
Comments
prob11-62.txt  lungcap.txt
gesell.txt  sizes.txt
recovery.txt
hw1.r Friday, February 6
Homework #2 Solutions
Comments
citysize.txt  recovery.txt
bigbang.txt  satscores.txt
sucrase.txt  butterfly.txt
hw2.r Friday, February 13
Homework #3 Solutions
Comments
prob11-27.txt  horsepower.txt
relrisk.txt  sucrase.txt
crab.txt
hw3.r Friday, February 20
Homework #4 Solutions
Comments
drug.txt  malebirths.txt
cornrain.txt  natal.txt
chickfeed.txt
hw4.r Friday, February 27
Homework #5 Solutions
Comments
evolution.txt  crab.txt
extinct.txt
hw5.r Monday, March 9
Homework #6 Solutions
Comments
prob13-34.txt  turkey.txt
maxspeed.txt  shuttle.txt
protein.txt
hw6.r Friday, March 20
Homework #7 Solutions
Comments
paper.txt  biomass.txt
protein.txt  Nuzzo paper (2014)
hw7.r Friday, March 27
Homework #8 Solutions
Comments
aphid.txt  warming2014.txt
mortality.txt  calcium.txt
hops.txt
hw8.r Monday, April 13
Homework #9 Solutions
Comments
prob8-37.txt  prob8-42.txt
logging.txt  soils.txt
hw9.r Tuesday, April 21
Homework #10 Solutions
Comments
prob9-7.txt  prob9-23.txt
premium.txt
hw10.r Friday, May 1
Homework #11 Solutions prob14-20.txt  tqm.txt hw11.r Wednesday, May 6

Course Handouts

Date Chapter Notes Data/Code
1/26-2/2 11.1-11.2 The Simple Linear Regression Model simplinreg.r
Whooping crane data
2/4-2/6 11.1 Transformations to Linearize Relationships transform.r
Wine mortality data
Brain/Body weight data
2/6-2/9 11.7 Correlation correlation.r
2/11-2/18 11.3-11.4 Inference for Simple Linear Regression inferslr.r
2/18-2/23 11.5 Examining Lack of Fit in Regression purelofnotes.r
purelof.r
2/25-2/25 12.1-12.2 Introduction to Multiple Linear Regression mrintro.r
2/27-3/4 12.3-12.4 Inference in Multiple Linear Regression multreg.r
Meadowfoam Data
3/6-3/9 12.5 Testing a Subset of Regression Coefficients multpar.r
pairs.panels.r
Brain/Body Weight Data
3/4 Review Sheet - Test #1
3/9 12.7 Comparing Slopes of Regression Lines multslopes.r
Ideal Body Weight Data
Echolocating Bats Data
3/13-3/16 12.8 Logistic Regression R Code for Logistic Fit
3/18-3/25 13.1-13.2 Multiple Regression Diagnostics subset.r
SAT Data
3/25 13.2-13.3 Looking for LOF with Residual Plots residlof.r
3/27-4/8 13.3-13.4 Model Diagnostics diagnost.r
4/10 13.3 Nonlinear Regression nonlin.r
AIDS Data
4/13-4/15 8.1-8.2 Analysis of Variance (ANOVA) anova.r
Alzheimer's Data
Nicotine Data
4/17-4/22 8.4,7.4 Testing for Variance Homogeneity varhomog.r
4/17 8.6 Kruskal-Wallis Test kruskal.r
4/13 Review Sheet - Test #2
4/22-4/24 9.1-9.3 Multiple Comparisons
4/27-4/29 9.4-9.9 Multiple Comparison Procedures multcomp.r
5/1-5/4 14.2,15.2 Experimental Designs rbdesign.r
5/4-5/6 14.3-14.5 The Factorial Design Stress Level Data
factor.r
5/5 Review Sheet - Final Exam
N/A 15.5 Experimental Design Odds and Ends
N/A 17 Fixed, Random, and Mixed Models
N/A 16-18 Other Experimental Designs


Lecture Videorecordings

The 11th homework assignment is available above and is due on Wednesday, May 6.

The final exam will be given on Wednesday, May 13 from 8:00-10:00am in room 103, and from 10:10am-12:10pm in room 211 of the Math Building. A review sheet for the final will be distributed on Monday, May 4 in class. You may bring something to write with, a calculator, your laptop, and one 8.5x11 sheet of notes as well as the notes from the first two exams. Statistical tables will be provided if necessary. Please come see me if you have any questions or concerns about the final exam.

A review session will be held and videorecorded on Monday, May 11 from 3:30-5:00pm in room 103 of the Math Building.

For instructions to install R in a Windows environment, click Rinstall - Windows.pdf
For instructions to install R in a MAC environment, click Rinstall - MAC.pdf
For a quick reference guide to using R, click R Intro.pdf

Here is a link to the "The Dot and the Line" cartoon.

Last modified: 6-May-2015
Mail comments to: jgraham@mso.umt.edu