Advanced Data Analysis I

Stat 427/527  [ 3 ]  Advanced Data Analysis I
Description: Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics.
Prerequisite: Stat 145 (or other intro stats course)
Semesters offered: Fall

Fall 2011

Lecture: Stat 427/527.001, TR 12:30–13:45, Hibben 105
Office hours: Tues 2-3pm and Wed 4-5pm in MSLC 312
email: “Erik B. Erhardt” <erike@stat.unm.edu>, please include “ADA1″ in subject line

Lecture notes and homework

I recommend double-side printing only the upcoming chapter the day before class because future chapters are subject to edits.

ADA1_notes.pdf includes all chapters in one document, but later chapters are subject to revision.

Homework will be due 1 week (or 2 classes, whichever is shorter) after we complete each chapter.

TOC – Title and Table of Contents
Ch 0 – Course details and MINITAB
Ch 1 – HW1 sol due 09/01 – Summarizing and Displaying Data
Ch 2 – HW2 sol due 09/08 – Estimation in One-Sample Problems
Ch 3 – HW3 sol due 09/15 – Two-Sample Inferences
Ch 4 – HW4 sol due 00/00 – Checking Assumptions
Ch 5 – HW5 sol due 09/27 – One-way ANOVA
Ch 6 – HW6 sol due 10/06 – Nonparametric Methods
Ch 7 – HW7 sol due 11/03 – Categorical Data Analysis
Ch 8 – HW8 sol due 11/22 – Correlation and Regression
Ch 9 – HW9 sol due 00/00 – Model Checking and Regression Diagnostics
Appendix – Distribution tables
Additional topics:
Ch 10 – HW10 sol due –/– – Power and sample size (power_examples.R)
Ch 11 – HW11 sol due –/– – Bootstrap for one- and two-sample problems
Data Visualization, guest lecturer Dr. Elena Allen, Figure checklist
Statistical consulting/collaboration

Midterm on Chs 1-5, in class Thursday 9/29, closed notes, no calculator — only a pen or pencil. Review.
Final on Chs 7-9. Due: Thurs Dec 8 at 12:30 PM (beginning of our last day of class).

Final grade is weighted this way: 0.50(proportion correct of HW points) + 0.25(proportion correct in midterm) + 0.25(proportion correct in final)

Minitab 16 rental

6-month rental: $29.99 USD, Windows XP and after.
Meet Minitab (from version 14)
Apparently there are 100 Minitab licenses at UNM (10 in the math/stat lab, 40 on HSC on north campus, and 50 on main campus). Let me know if you find Minitab on the computers on main campus. IT doesn’t show where they are.
R programming language (brief introduction)

Citing lecture notes, example: Bedrick EJ, Schrader RM, and Erhardt EB. (2011) Lecture notes for Advanced Data Analysis 1. Retrieved Jan 1, 2012, from statacumen.com/teach/ADA1/ADA1_notes.pdf, 136–144.