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This overview prepares students for 400-level methodscourses such as multiple regression, multivariate methods,experimental design, sampling, graphical techniques, non-parametricmethods, and logistic regression.  A secondary goal of STAT 401 isto provide the skills necessary to write professional reports whichsummarize data and include results and graphics from statisticalanalyzes.\item {\bf Prerequisite}: graduate standing plus Stat 216 or equivalent\item {\bf Required Texts}:\begin{itemize}\item Devore, J.~L.~and Peck, R.~(2005). {\it Statistics: The Exploration    and Analysis of Data}, $5^{\rm th}$ edition. Belmont CA:    Brooks Cole.\begin{itemize}\item Data Collection and Descriptive Statistics: Chapters 1--4\item Probability and Sampling Distributions: Chapters 6--8\item Elementary Inferential Procedures: Chapters 9--11\item Intermediate Inferential Procedures: Chapters 5, 12, 13, 15\end{itemize}\item Boik, R.~J.~(2006). {\it Course Notes: Statistics 401}.\end{itemize}\item {\bf Instructor}:\begin{itemize}\item Al ~Parker, PhD, 2--243 Wilson, 994-5369,parker@math.montana.edu.\item {\bf Office Hours}: Mondays and Fridays: 10am-12pm; and other times by appointment.\end{itemize}\item {\bf Course Web Page}: ~http://www.math.montana.edu/$\sim$parker/courses/STAT401\item {\bf Grading} is based on 600 total points:\begin{itemize}\item Exam 1: Monday, February 26: 100 points (16.6\%)\item Exam 2: Wednesday, April 4: 100 points (16.6\%)\item Comprehensive Final Exam: Monday, May 7, 4:00--5:50pm: 100 points (16.6\%)\item Projects: 30 points each for a total of 300 points (50\%)\end{itemize}Letter grades will be assigned according to the followingpercentages:\hspace{.2in}F 0-59, D 60-66, D+ 67-69, C 70-76, C+ 77-79, B 80-86,B+ 87-89, A 90-100.\item {\bf Exams}: All exams are in class, worked individually, and are ``closed book."  One 8.5" x 11" sheet of notes(written on only one side) is allowed for exams 1 and 2.  One 8.5" x11" sheet of notes  (written on both sides) is allowed for the final exam.  Equation sheets will  be provided for each exam.\smallskipPractice Exams are available in Chapter 11 of the Course Notes.Solutions for these are available on the STAT401 web site.\newpage\item {\bf Projects}:A project will be assigned each week, except for weeks that includescheduled exams. Most projects consist of a data analysis component(numerical and graphical) and an interpretation component. Projectsmust be turned in by the beginning of class on the due date. Acomplete solution to each project will be posted on the STAT401 webpage. Each student is responsible for reading and understanding thesolution. Project topics are listed below.\begin{itemize}\item Project 0: Installing R\item Project 1: Data\item Project 2: Sampling Plans and Experimental Designs\item Project 3: Descriptive Statistics\item Project 4: Distributions and Transformations\item Project 5: Sampling Distributions\item Project 6: Estimation\item Project 7: One Sample Hypothesis Testing\item Project 8: Two Sample Hypothesis Testing\item Project 9: One-way ANOVA\item Project 10: Categorical Data Analysis\item Project 11: Simple Linear Regression\end{itemize}Projects will be graded for content as well as for theprofessionalism and quality of the write-up.  Chapter 4 from theCourse Notes outlines the expectations for the write-up of eachproject.  Adhering to these expectations trains the student to writea professional paper, such as a thesis or a paper for publication.Of particular note:\begin{itemize}\item Projects must be typed.\item Answers to questions should be numbered the same as thequestions themselves.\item Results and statements in response to specific questions in a project must be substantiated with the appropriatecalculations, logical argument, and/or computer code and output. Ifyou have a question about which questions require justification,then ask.\item ALL computer code and output used to complete a project is to be inserted in anAppendix of your report.   Do not paste computer code and outputinto the body of your report to justify some statement. Instead,indicate ``see Appendix A for computer code and output."\item Any Table or Figure included in your report must be numbered, labeledand referenced from the body of your report.  Next to the number foreach Table and Figure, a short description should be given.\end{itemize}\item {\bf Computer Software}: R will be used for class examples, exam questions, and projects. At your own risk, you may use a different  software package for projects.  Chapters 7 and 8 of the Course Notes gives  an introduction to R, lists elementary R programs, and gives many  data analysis examples using R.\item {\bf Help}: When working on projects, you may provide help to and/or receive help from any of yourfellow classmates. It can be a great learning experience to workwith fellow students. However, each student must hand in anindependent write-up of each project.\smallskipI am always available to help answer your questions.  If I am in theoffice, you are welcome to stop by.  Email is the best way to get ahold of me.  If you email me with a question about R, paste in anyrelevant R-code and R-output.\item {\bf Disabilities}: If you have a documented disability for which you are or may berequesting an accommodation, contact me and the Disabled StudentServices as soon as possible.\end{itemize}%The work required to complete a project generally%can be categorized as follows:%\begin{enumerate}%\item Writing computer code and executing the code.%\item Checking for errors in the R code and and in the output.%\item Writing the text for the solution.%\item Editing the project to ensure that the answers are correct and%  that the format is acceptable.%\end{enumerate}%If the following policy is not abused, then it%will remain in effect for the duration of the semester.%\begin{enumerate}%\item Projects may be completed as a team.%\item A team consists of one to three students.%\item A team submits only one write-up per project.%\item A team exists only for the duration of one project.  A%student may be a member of several teams throughout the term.%\item If your name is on a project, then you have agreed to take%responsibility for understanding all components of the project.%If you never work on R code, for%example, then your exam scores will suffer.%\end{enumerate}\end{document}
