STAT 269 - 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

James McClave and Terry Sincich A First Course in Statistics, Eleventh Edition

  • This text can serve as a valuable resource for you throughout this course, and beyond. There will be no required readings, but I strongly suggest you read through the sections in the book as we go to insure that you are understanding what I cover in class. Also, once you are out of the course, the text, along with the handouts that are given, and the rest of your notes, can serve as a reference for you to look back to when you come across statistics on the job, or in your daily life.


Computer Technology

It is expected that for this course you will have access to the following:

Required:
 
A working computer/laptop (laptop prefered during the regular semester)
 
Reliable internet access
 
A browser sufficient to access Canvas and complete assessments online as needed.
 
You should check both email and Canvas regularly, more than once per day.
 
Recommended:
 
Your own computer such that you are not hindered by inability to access while someone else is using it.
 
Access to Zoom with reliable video and audio (getting help may be much harder without this resource)
 


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

A student who successfully completes STAT 269 should be able:
 
To successfully conduct both descriptive and inferential analyses.
 
To use probability in applied models and as the bridge between descriptive and inferential analyses.
 
To integrate topics by identifying commonalities.
 
To clearly state the conditions for the validity of each analysis.
 
To express general concepts in terms of the application.
 
To communicate results, clearly and completely, in a manner appropriate to non-quantitative audiences.
 
To use the capability of the computer in solving practical problems, using the computer for analysis only after understanding how to perform the analysis manually. That is: Technology will not replace conceptual understanding.

QuEST Mathematical Sciences Objectives

Solve quantitative problems using mathematical techniques, statistical methods, or information technology.
 
Use systematic reasoning appropriate to the respective discipline.
 
Apply course content to diverse fields of study.
 

IDEA Objectives

Gaining a basic understanding of the subject (e.g. factual knowledge, methods, principles, generalizations, theories)
 
Learning to apply course material (to improve thinking, problem solving, and decisions)
 
Developing specific skills, competencies, and points of view needed by professionals in the field most closely related to this course
 
Learning appropriate methods for collecting, analyzing, and interpreting numerical information.
 

Course Content

Unit 1

Important terms and introduction to inference - 1.1-1.3, 6.1
Topics: Basic definitions, types of data, experimental design, sampling methods
 
Descriptive Statistics: Numerical Summaries - 2.3-2.7
Topics: Measures of center and spread, quantiles, outliers
 
Descriptive Statistics: Graphical Displays - 2.2, 2.8
Topics: Stem-and-leaf plots, dotplots, boxplots

Unit 2

Probability Terms - Selected pieces of Chapters 3 and 4
Selected Topics: Definitions, rules, complements, independence, mutually exclusive, how discrete distributions work, The Binomial Family of Distributions (traits)
 
Normal Probability Distributions - 4.5
Topics: Areas as probabilities, finding probabilities, working backwards, standardizing, Table III
 
Normal Probability Distributions for Samples - 4.9
Topics: Sampling distributions, especially for the sample mean

Unit 3

Hypothesis Testing - 6.2-6.6
Topics: How to conduct a hypothesis test, type I and II errors, conditions, rejection region, P-values, making conclusions, cases
 
Confidence Intervals - 5.2-5.4
Topics: The idea of interval estimates, how to construct them for three cases of interest
 
Hypothesis Testing with Two Samples - 7.2, 8.1
Topics: Hypotheses, conditions, and making conclusions

* If Time Allows


Preparation

Modules will follow the course material in a manner which naturally builds on each other. Each module will include links to handouts needed to follow the material in that module. You are expected to have these available in print or electronic format as you watch the videos and work through the examples. During the any class sessions, synchronous work, or assessments (quizzes/exams in person or Canvas), you should be prepared to focus exclusively on this course. Canvas does provide a log which provides faculty a chance to see when a student leaves the page of a Canvas quiz/exam. You are to stay on the page during any online assessment, so leaving the page will be considered a violation of the academic integrity policy. If you believe that a computer crash or other instance may cause such a flag, you should send a message immediately and note the time and cause and then complete the assessment. It is also your responsibility to find the time to complete any reading or other work so that you can be prepared for course work by the posted deadline.


Homework

In each section there are homework questions. I would suggest that you look over the questions to make sure you understand the material. Answers to odd numbered questions are available in the back of your text. Even numbered questions may be discussed with me during my office hours. In some cases I may hand out additional problems to work on that we will discuss in class. These sheets will be more helpful to you if you take the time to at least attempt to complete the work before class. When working on the homework problems, or the handout sheets, you may work with friends, see the tutors in the math help room, or stop by my office if you need help. There will not be any collected or graded homework. If at some point you would like a blank copy of these handouts to practice for quizzes or exams, you may print them off from this site.


Minitab

There will be several computer projects using Minitab in this course. Each project will be worth 10 points. You may work with classmates, or ask me questions while doing the projects. You should work in groups of 2 or 3 and turn in one project as a group, you should make sure all of your names are included, and be aware that you will all receive the same grade. You may also each turn in your own project for separate grading. The intent of the projects is to show you how to use the computer to greatly simplify the processes that we will be covering in class. This will enable you to know what the computer is doing, and therefore understand how to interpret the output, while being able to work with larger datasets than we will generally see in class, and gain intuition beyond what we can achieve by strictly lecturing.


Quizzes

We will have a series of quizzes during the term. The material for each quiz for a chapter may include the previous day's material. Practice quizzes are available on our course website. These practice quizzes should cover a subset of the course content covered by the actual quizzes. Any departure from this will be announced in class. Please note that these quizzes are meant to be examples of the kinds of things I might ask from a chapter, and the approximate amount of material that will be on the quiz. There is no intent to imply the exact content for any actual quiz. On most quizzes there are a number of topics on which questions could be asked, and it would be impossible to fit them all onto one quiz. The material on the actual quiz may or may not be very similar to some of the practice quizzes. While the practice quiz is a good place to start, it should not be the only way you study. Also, for the practice quiz to be most useful, you should attempt to take it after you have studied, and without using your notes or handouts, since those will not be allowed on the real quiz. You should not allow material that has not been covered to cause you problems, just practice doing what we have covered to that point. For the real quiz you will be allowed to use your calculator, and any tables from the text used in class the previous day. We will have 7-9 quizzes. Each quiz will be worth 10 points, and should take approximately 15 minutes to complete. No makeup quizzes will be given, and no quizzes will be dropped.


Exams

Two midterm exams will be given, and then there will be a comprehensive final at the end of the term. A review sheet outlining the topics for each exam is available on our website. As with the quizzes, practice exams should not be taken to indicate the exact topics to be covered. You will be held responsible for all topics listed on the review sheet, unless specifically instructed otherwise in class. Each exam will be open book and open notes, but no internet resouces should be used during the exams. You should take good notes during any lectures, examples, or videos to serve as a resource during exams. You are responsible for the accuracy of your notes. Please be sure to double check and make sure you have correctly written the information and details of your work in your notes. The coverage and point value of each exam will be as follows:

  • Exam 1 - Unit 1 Parts 1-3: 100
  • Exam 2 - Unit 2 Parts 1-3: 100
  • Final - Comprehensive: 150

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.