ADA1
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.
| Ch | Topic | Notes | Homework | HW due date |
| Title and Table of Contents | TOC | |||
| 00 | Course details and MINITAB | Ch 0 | ||
| 01 | Summarizing and Displaying Data | Ch 1 | HW1 sol | 09/01 |
| 02 | Estimation in One-Sample Problems | Ch 2 | HW2 sol | 09/08 |
| 03 | Two-Sample Inferences | Ch 3 | HW3 sol | 09/15 |
| 04 | Checking Assumptions | Ch 4 | ||
| 05 | One-way ANOVA | Ch 5 | HW5 sol | 09/27 |
| 06 | Nonparametric Methods | Ch 6 | HW6 sol | 10/06 |
| 07 | Categorical Data Analysis | Ch 7 | HW7 sol | 11/03 |
| 08 | Correlation and Regression | Ch 8 | HW8 sol | 11/22 |
| 09 | Model Checking and Regression Diagnostics | Ch 9 | ||
| Distribution tables | Appendix | |||
| 10 | Power and sample size | Ch 10 (power_examples.R) | ||
| 11 | Bootstrap for one- and two-sample problems | Ch 11 | ||
| Data Visualization, guest lecturer Dr. Elena Allen | Figure checklist | |||
| Statistical consulting/collaboration | slides |
Homework will be due 1 week (or 2 classes, whichever is shorter) after we complete each chapter.
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.