What every STAT student should know

Home > More about statistics!
Below are some important links to learn about the statistics discipline and statistics at the University of Nebraska-Lincoln!
My presentations on recruitment trips	UNL Department of Statistics
Millard South UNO Winona State University University of Wisconsin-La Crosse Video	Admission requirements and assistantship information Departmental brochure Graduate student handbook - contains a typical set of courses for MS students Undergraduate minor Where alumni are working
Introductory information about being a statistician	Jobs
American Statistical Association’s (ASA) web page on careers; More brochures Why Statistics? - from Oklahoma State U. website (I created it in 2001) Bureau of Labor Statistics web page about statisticians Dallas Morning News article about the need for statisticians (PDF) - article was nationally syndicated in Spring 2004 (Omaha World-Herald version). Nature jobs article about the need for statisticians (PDF)	AMSTAT - Listings in the ASA's monthly newsletter (best source for academic and non-academic jobs) Internships - Listings in the ASA's December newsletter (updated with new listings), page down Purdue University listing University of Florida listing in the Virtual Statistics Library
Salary information	List of all Departments of Statistics
American Statistical Association listing - Information on academic and non-academic statisticians Comparative actuary salary information	Virtual Statistics Library listing StatLib listing
Professional societies	Interesting articles and papers discussing statistics
American Statistical Association (ASA) - Largest; encompasses all types of statisticians Biometrics - Eastern North American Region (ENAR) - Biologically related statisticians (agriculture, medical, environmental,...) Institute of Mathematical Statistics (IMS) - Theoretical, academic statisticians American Society for Quality (ASQ) - Statistics division - quality control and engineering statisticians	"It's Good" An Analysis of the Probability of Success for Placekicks - paper by Bilder, C. R. and Loughin, T. M. which appeared in a 1998 issue of Chance; Scott Berry's recent work on field goal kicking (Fall 2004 issue of Chance); the Science News article about Scott's work (PDF) Inference magazine - Prototype magazine published by the American Statistical Association Omaha World-Herald article - Hagel vs. Nelson 1996 senate race Omaha World-Herald article - Dr. Dave Marx helping the Husker basketball team Scientific American article about polling; if this link does not work, click here for a PDF of it. Scientific American article about Receiver Operating Characteristic (ROC) curves
Undergraduate course websites	Graduate course websites
UNL STAT 380 - Statistics and Applications - First semester statistics course for non-math majors; like an AP Statistics course and STAT 218, but with calculus	UNL STAT 870 - Multiple Regression Analysis - Investigate ways to model and predict data through regressions models (for example, predict the shelf life of a drug or food item for the FDA) UNL STAT 873 - Applied Multivariate Statistics - Investigate ways to predict classifications of items (for example, classify an airline passenger as a terrorist or not) and look for ways to represent multivariate data in a smaller number of dimensions in order to graph it UNL STAT 875 - Categorical Data Analysis - Investigate ways to model data which is categorical (qualitative) in nature (for example, model the relationship between gender, age, passenger vs. crew, survived vs. died on the Titanic) UNL STAT 892 - Applied Time Series Analysis - Investigate how to model and predict data which is observed over time (for example, forecast future UNL student enrollment for spring and fall semesters and forecast sales for a company) UNL STAT 950 - Bootstrap Methods and Their Application - Estimate a statistic's distribution through using computer intensive methods. OSU STAT 4091 - Statistical Analysis System - Introductory course on the SAS software system which is the most used software package by statisticians OSU STAT 5091 - S Programming - A 1 credit hour readings course on how to use R and S-Plus statistical software packages. Note that R is a completely FREE software package that has revolutioned what software people use for statistics. Go to my software links at www.chrisbilder.com/resources for the more information about how to obtain it!
Additional links
Summer institute for training in biostatistics (statistics with biological applications) - 6-week all expenses paid training at Boston U., North Carolina State, or Wisconsin!
Teaching
American Statistical Association's list