STAT 324 - Syllabus


Instructor

Samuel P. Wilcock, PhD

Professor of Statistics; Dept. of Computing, Mathematics, and Physics
  • Contact Information
    •     Office: F328
    •     E-mail: SWilcock@Messiah.edu
    •     Phone: x7092
  • Education
    •     Garden Spot High School, New Holland, PA
    •     B.A., Messiah College, Major: Mathematics (minor: Statistics)
    •     M.S., Virginia Polytechnic Institute and State University, Major: Statistics
    •     Ph.D., Virginia Polytechnic Institute and State University, Major: Statistics
  • Personal
    •     Married, 5 Children (Ages 5-15)
    •     English and Jewish ancestry
    •     Straight, Cis, He/His


Textbook

There is no specific textbook for this course, but I assume that you still have access to Jay L. Devore's Probability and Statistics for Engineering and the Sciences in whichever edition you used in STAT 291/292.


Attendance Policy

Class attendance is not required, but is strongly encouraged whether in person or any synchoronous online meetings. Active participation with any class session or material will aid you in learning the material that we are covering, and is therefore encouraged. In addition, you should come to class prepared with any material you have been told to bring along and have completed any assigned readings or practice and watched any suggested videos. This may include having physical or electronic access to handouts, tables, calculators, etc. Late graded material will only be accepted with a medical excuse. You should also be aware that an announcement made in Canvas will be considered sufficient warning about any changes to the course including deadlines and assignments. It is your responsibility to check email and Canvas regularly to be aware of any changes that have been made. I will not reteach material during my office hours that has already been covered in another venue, but will gladly halp you apply the material.

Proviso

The instructor reserves the right to penalize a student if excessive absences from in person classes or synchronous class meetings are noted. If such a situation should arise, the student will receive one warning via email or Canvas message, after which continued absences may result in a lowering of the overall course average by up to one percent per occurence of unexcused absences. It is expected that this proviso will rarely be invoked.


Office Hours

My office hours will be by appointment only. You may feel free to come and ask any questions about course material or anything else you may need help with. There is no limit to how many times you may use my office hours, but I ask that you sign up for one slot at a time. I would rather you use these times frequently and ask questions, than not use this resource and therefore do poorly in the class. Please email with some time for me to see and reply as well as several options that work for you since I may have other commitments that affect my availability. Please do not email requesting a meeting in just a few minutes as I may not be able to be that flexible. Check Canvas for more information about my expected availability and links to sign up for times (regular semester only).

Before Coming

Before coming to my office hours, whether in person on virtually, please take the time to adaquately prepare. You should organize your specific questions for me. Also, make sure that your notes, text, handouts, or any provided resources (videos, Canvas posts, etc.) do not already answer your question(s). This implies that you should already have read the sections of the text that correspond to the topics about which you have questions when you come to my office. I will assume that you have done this already. Your work with the text should include reading through the examples in the text, and possibly even working some of the problems from the section/chapter.


Course Objectives

To gain an appreciation for the variety of methods used in statistics and the complexity of the settings.
To discuss both the design and analysis of these settings.
To broaden the students' understanding of the difficulties that arise when answering questions in practice.
To understand the reason that the methods used work.
To understand the interconnected nature of statistics.
To see how a computer package allows for the obtaining of solutions to larger problems.

Course Content

Introduction to SAS: overview.
ANOVA as a linear model
Analysis of Covariance (ANOCOVA)
Multivariate Analysis of Variance (MANOVA)
Discriminant Analysis
Stepwise Regression
Logistic Regression
Factor Analysis
Advanced SAS topics


Homework

As we move through the semester, you will be assigned several homework sets to complete. These sets will be due at the beginning of class on the date specified when they are distributed. Late homework will not be accepted. Each of these homework assignments will be given with instructions for their completion. You may feel free to discuss your work with friends in the class, unless otherwise indicated. Occasionally you may be required to work in small teams to complete an assignment. Unless this is the case, each of you will turn in your own solution, even if you worked with friends to accomplish the task. It is vital that you be sure that you understand all the steps to arriving at the conclusion, since exams will be completed without the aid of others. Homework will be worth 60% of your final grade.


SAS

From time to time we will have homework assignments which will require the use of a statistical package. For this class we will be using SAS. In class introduction to SAS will be given, and additional comments will be made as topics are covered in the course.


Final Projects

Instead of a typical exam, the final experience for this course will be cumulative projects. Students will be randomly divided into teams and will work to complete the assigned projects. This projects will be handed out in a staggered fashion starting roughly two weeks prior to our final exam time. The last project will be due during the final exam period scheduled for us. (8:00-10:00, Friday, 11 May 2018) The projects may be discussed with the instructor, but should be entirely executed and written up by the members of your team. You should do your projects on your own. The projects will be graded as a team, so that each of you will receive the same grade as the others in your team. Difficulties with the other member of your team may be brought to my attention if you feel the need, and I will mediate as I deem necessary. I expect each member of the team to work hard to fulfill their share of the responsibility for the work. The goal of the projects is to mirror more closely the types of project teams that are prevalent in the "real world" so that you have at least experienced this type of work somewhere in your statistical training. The final projects will total 40% of your final grade.


Grading

Graded material will fall into the categories of quizzes, computer projects, and exams. The total points earned will be divided by the total number of points available during the semester. This will be converted to a percentage, using the usual convention of rounding .5 and above up. The percentage will then be compared to the usual table (seen below) to find the appropriate letter grade.

  • 93 - 100 = A
  • 90 - 92 = A-
  • 87 - 89 = B+
  • 83 - 86 = B
  • 80 - 82 = B-
  • 77 - 79 = C+
  • 73 - 76 = C
  • 70 - 72 = C-
  • 67 - 69 = D+
  • 60 - 66 = D
  • 0 - 59 = F

ADA Statement

Americans with Disabilities Act: Any student whose disability falls within ADA guidelines should inform the instructor at the beginning of the semester of any special accommodations or equipment needs necessary to complete the requirements for this course. Students must register documentation with the Office of Disability Services (Murray Library, Suite 115). If you have questions, call extension 7258. Note: It is the responsibility of the student to inform the instructor at the beginning of the semester. The instructor will work with any student who needs accomodations as long as they are documented by the Office of Disability Services, and the instructor is informed at the beginning of the semester.

Harassment and Violence Statement

Messiah College prohibits all forms of discrimination and violence, including harassment, stalking, interpersonal violence, and sexual assault. If I learn of any potential violation of our harassment, stalking, sexual assault, and/or interpersonal violence policy by any means, I am required to notice the College. Students may request confidentiality from the institution, which I will communicate to the appropriate office or the Title IX Coordinator (Amanda Coffey). Confidential resources are available on or off campus:
Engle Center Counseling Services (x5357)
Engle Center Health Services (x6035)
Don Opitz, College Pastor (x6520)
YWCA Carlisle (1.888.727.2877)
YWCA Harrisburg (1.800.654.1211)
Confidential resources can walk students through all of their reporting options, including making a formal report to the Title IX Coordinator if and when they are ready. They can also provide students with information and assistance in accessing academic, medical, and other support services they may need. (© 2015, adapted from Victim Rights Law Center)


Academic Integrity

It is expected that you are familiar with the Academic Integrity policy of the College, found in the Student Handbook. In particular, you should be aware that any use or provision of unauthorized aids on exams or other graded material will not be tolerated. This means that it is not only a violation of the policy to obtain unauthorized aid, providing such aid to another student is also a violation of this policy. If an offense is suspected, the instructor will notify the student(s) involved by email. Students will have one week from the sending of this email to provide defense of their actions. If no defense is given, or it is found to be insufficient to the instructor, then penalties will be assessed. On the first offense, no credit will be granted for the assignment. Any further offense will result in a failing grade for the course. There will be no make-up work given to compensate for either penalty. In addition, the instructor may choose to decline signing a drop or withdrawal request if a student has violated this policy. Students should carefully read all assignments to determine what is allowed, and what is prohibited.