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\title{\vspace{-20pt}STAT 753-01: Nonparametric Statistics and Bootstrapping}
\author{Syllabus and Course Information -- Fall 2022}
\date{2022 August 15}
\maketitle
\vspace{-40pt}
\section{Overview}
\subsection{Course Description from RIT}
The emphasis of this course is how to make valid statistical inference
in situations when the typical parametric assumptions no longer hold,
with an emphasis on applications. This includes certain analyses based
on rank and/or ordinal data and resampling (bootstrapping)
techniques. The course provides a review of hypothesis testing and
confidence-interval construction. Topics based on ranks or ordinal
data include: sign and Wilcoxon signed-rank tests, Mann-Whitney and
Friedman tests, runs tests, chi-square tests, rank correlation, rank
order tests, Kolmogorov-Smirnov statistics. Topics based on
bootstrapping include: estimating bias and variability, confidence
interval methods and tests of hypothesis.
\subsection{Computing Environment}
We will make extensive use in this course of Jupyter notebooks
(running Python 3.9) for lessons, homework and exams. There is a
JupyterHub environment in which you can run these, or if you prefer,
you can install the Anaconda Individual edition from
\link{https://www.anaconda.com/products/individual} (or any other
Python/Jupyter installation that works for you).
\subsection{Textbooks}
\begin{packed_item}
\item \textbf{Required:} Conover, W.\ J., \textit{Practical
Nonparametric Statistics}, 3rd edition (Wiley, 1999)
\item \textbf{Required:} Efron, B. and Tibshirani, R.\ J., Conover,
W.\ J., \textit{An Introduction to the Bootstrap}, 1st edition (CRC,
1994)
\item \textbf{Possibly useful:} Hollander, M., Wolfe, D.\ A., and
Chicken, E., \textit{Nonparametric Statistical Methods},
3rd edition (Wiley, 2014)\\
Available electronically via the Wallace Library:
\link{https://albert.rit.edu/record=b3692426~S3}
\item \textbf{Possibly useful:} Higgins, J.\ J.,
\textit{Introduction to Modern Nonparametric Statistics}, 1st
edition (Brooks/Cole, 2004)
\item \textbf{Possibly useful:} Gibbons, J.\ D.\ and Chakraborti, S.,
\textit{Nonparametric Statistical Inference}, 5th edition (CRC,
2011)
\item \textbf{Possibly Useful:} Wasserman, L., \textit{All of
Nonparametric Statistics}, 1st edition (Springer, 2007)\\
Available electronically via the Wallace Library:
\link{https://albert.rit.edu/record=b3210246~S3}
\end{packed_item}
\subsection{Instructor}
Dr.~John T.~Whelan; \href{mailto:jtwsma@rit.edu}{\url{jtwsma@rit.edu}}\\
\textbf{Office Hours:} by appointment (slack or zoom).
\subsection{Prerequisites}
This course is restricted to students in the MS or Advanced
Certificate program in Applied Statistics. Students should also have
taken an introductory statistics course.
\section{Course Structure}
This is a 3-credit online course; you should expect to spend at least
nine hours per week on activities for this class.
\subsection{List of Topics}
\begin{packed_enum}
\item Review/Basics of Probability and Statistical Inference (Conover Chapters
One and Two)
\item Binomial Tests (Conover Chapter Three)
\item Rank-Based Tests (Conover Chapter Five)
\item Kolmagorov-Smirnov Statistics (Conover Chapter Six)
\item Bootstrapping (Efron)
\end{packed_enum}
\subsection{Timetable for the Course}
See the course outline at \link{outline.html}
\subsection{Getting Started}
There is a ``week zero'' of preliminary material consisting of an
introduction and overview, and a brief Python tutorial. This material
has no due dates, but will be available by 2022 August 15, one week
before the semester starts. It is availble in mycourses and listed in
the outline above.
\subsection{Lessons}
The course is divided into weeks. Each week includes a brief video
introduction and one to three lessons, presented as Jupyter notebooks,
available in mycourses. (The notebooks can be run on the JupyterHub
server or saved to your computer and run within Jupyter locally.)
These notebooks provide explanations interspersed with Python
demonstrations, to be executed one step at a time. You are encouraged
to tinker with the commands to explore how the demo changes if
parameters, procedures, etc are modified.
\subsection{Homework}
Each week has a problem set, due the following Wednesday at 9am Eastern
Time. The problem set is in the form of a Jupyter notebook, and is to
be completed by including notebook cells with \LaTeX/markdown (for
explanations and formal calculations) and Python commands (for
numerical computations). Problem sets should be turned in with all of
the cells executed. Solutions in the form of executed notebooks will
be made avalable after the problem set is due. Problem sets will not
be accepted after the solutions have been released. Note that
homeworks will be checked for completeness, and a subset of the
problems checked for correctness, so it's important to go through the
solutions yourself. We will also have an area on the discussion forum
for followup questions about the homework.
\subsection{Exams}
There will be two preliminary exams, one covering weeks 1-4 and one
covering weeks 5-8. The exams will be open book, open notes, in
Jupyter notebook format, and available for a 27-hour period, but
designed to be done in a couple of hours in one sitting. The final
exam will be taken under similar conditions, but over a 36-hour
timespan and proportionally longer.
\subsection{Discussion Board}
There is a discussion board in mycourses, on which you are encouraged
to ask about and discuss both conceptual and practical aspects of the
week's materials with me and your peers.
\section{Course Policies}
\subsection{Student Identity Verification}
As with all RIT Online courses, students must complete the Student
Identity Verification Checklist.
\subsection{Collaboration}
It is acceptable and encouraged to discuss and brainstorm with your
peers while doing the homework, but each student should turn in their
own work. Collaborating on exams with people in or outside the course
is of course cheating and will not be tolerated.
\subsection{Grades}
Grades will be based on the following components:
\begin{packed_item}
\item Homework [15\%]
\item First Prelim Exam [25\%]
\item Second Prelim Exam [25\%]
\item Final Exam [35\%]
\end{packed_item}
Your score on each component of the course (each prelim, the final,
and all the homeworks together) will be converted to a numerical
``grade point'' score, and the weighted average of those five scores
will be your final grade, converted to a letter grade according to the
scale below.
\subsection{Grading Scale}
\begin{tabular}{|c|c|c|c|c|}
\hline
$3.8\overline{3}$ to $4.5$
& $3.5$ to $3.8\overline{3}$
& $3.1\overline{6}$ to $3.5$
& $2.8\overline{3}$ to $3.1\overline{6}$
& $2.5$ to $2.8\overline{3}$
\\
\hline
A & A- & B+ & B & B- \\
\hline
\end{tabular}\\
\begin{tabular}{|c|c|c|c|c|}
\hline
$2.1\overline{6}$ to $2.5$
& $1.8\overline{3}$ to $2.1\overline{6}$
& $1.5$ to $1.8\overline{3}$
& $0.5$ to $1.5$
& $-0.5$ to $0.5$
\\
\hline
C+ & C & C- & D & F \\
\hline
\end{tabular}
\subsection{Graded Feedback}
I will check homeworks for completeness and give feedback on the
correctness of a subset of the problems. Solutions will be made
available, and \textbf{you are responsible} for going through your own
homework submissions and learning from any mistakes. You will receive
updates on your grades to date (a grade for each exam and a
preliminary composite grade for the homeworks so far) three times
during the semester: after each preliminary exam, and before the final
exam. You are welcome to discuss with me your progress in between
these milestones.
\subsection{University Policies}
\subsubsection{Academic Integrity}
As an institution of higher learning, RIT expects students to behave
honestly and ethically at all times, especially when submitting work
for evaluation in conjunction with any course or degree
requirement. RIT Online encourages all students to become familiar
with the
\href{https://www.rit.edu/academicaffairs/policiesmanual/p030}{RIT
Honor Code} and with
\href{https://www.rit.edu/academicaffairs/policiesmanual/d080}{RIT's
Academic Integrity Policy}.
\subsubsection{Reasonable Accommodations}
RIT is committed to providing reasonable accommodations to students
with disabilities. If you would like to request accommodations such as
special seating or testing modifications due to a disability, please
contact the Disability Services Office. It is located in the Student
Alumni Union, Room 1150; the Web site is \link{www.rit.edu/dso}
. After you receive accommodation approval, it is imperative that you
contact me so that we can work out whatever arrangement is necessary.
\subsubsection{Use of copyrighted material}
Certain materials used in this course are protected by copyright and
may not be copied or distributed by students. You can find more
information at
\link{http://www.rit.edu/academicaffairs/policiesmanual/sectionC/C3_2.html}
\subsubsection{Emergencies}
In the event of a University-wide emergency course requirements,
classes, deadlines and grading schemes are subject to changes that may
include alternative delivery methods, alternative methods of
interaction with the instructor, class materials, and/or classmates, a
revised attendance policy, and a revised semester calendar and/or
grading scheme.
\subsubsection{Student support availability}
Student Learning, Support \& Assessment offers a wide range of
programs and services to support student success including the
Academic Support Center, College Restoration Program, Disabilities
Services, English Language Center, Higher Education Opportunity
Program, Spectrum Support program, and TRiO Support Services. Students
can find out about specific services and programs at
\link{www.rit.edu/slsa}
\end{document}