www.stat.colostate.edu/Facultystaff/boardman.html
Course
Description: Instruction in statistical consulting including
data analysis, problem solving, report writing, oral communication, and planning
experiments.
Course
Objectives
The
goal of this course is for students to develop skills needed by a
statistical consultant. Emphasized topics include data analysis,
problem solving, report writing, oral communication with clients,
issues in planning experiments and collecting data, and practical
aspects of consulting management. Students
will also learn about some
topics not included elsewhere in the undergraduate statistics
curriculum including logistic regression, time series, quality
control, and non-parametric statistics.
At
the end of the semester, students will have the skills to:
1. Write a complete scientific
paper presenting a statistical
problem, data analysis and problem
solution.
2.
Give a quality scientific presentation.
3.
Understand and be able to put to practice basic skills in
statistical consulting such as helping the client to fully state
and assess their problem and determining the statistical analysis
techniques that might be necessary to address real world
consulting problems.
4.
Understand how to deal with ethical dilemmas as a practicing
statistician.
5.
Have a basic understanding of some statistical topics not included
elsewhere in the undergraduate curriculum.
Course
Format
Sessions
on Tuesday & Thursday will combine a mixture of lecture, discussion,
breakouts, computer sessions in our new Statistics computer laboratory in Weber
206. In addition to the Senior Project described on a separate page you will
need to sit in on 3 consulting sessions in the Statistical Laboratory over the
semester.
Topics
to be Covered
·
Introduction to Consulting Techniques including
Ethical Issues
·
Introduction to the Statistics Professional
·
Preparing the Statistical/Scientific Article and
Presentation
Possible Additional Statistical Topics
· Learning Statistical Program Packages
·
Intro to Logistic Regression
·
Intro to Control Chart Techniques
·
Intro to Bootstrap Resampling Techniques
·
Intro to Reliability Estimation
·
Intro to Six-Sigma Programs
·
Intro to Time Series
·
When to Use Statistical Tests not Assuming
Normality
Senior Project- Guidelines:
Each student will complete
a project that involves a design of an
experiment or data
collection of a study. The write-up
should emphasize the statistical issues more than a typical paper. (See handout
on writing for more guidelines later in the semester.)
The project write-up should be no more than
20 pages of double spaced text in a readable font, plus supporting
tables, plots and computations.