Business Statistics
Spring 2012

rjMoodle, Assignments, Notes & Resources

Syllabus quick links: Course Objectives, Course Format, Texts, Additional Resources, Basis of Grade


Course Information

Days & Times: Thursdays & Mondays (online), 5:45PM - 8:15PM
Note: Monday meetings will be "electronic", not in class.
Our first meeting is Thursday, January 19.
Location: ACCEL, Room 105
Credits: 3 hours
Prerequisites: MATH 151 - College Algebra
ECON 201 - Principles of Macro-Economics
Instructor: Dr. Richard Jerz
Contact Information: Email:Rick@rjerz.com
  Phone: (563) 447-0180 (voice mail)
  Office: 408 Ambrose Hall

Catalog Description

Principles and applications of descriptive and inferential statistics. Topics covered are data summarization, measures of central tendency, measures of dispersion, fundamental principles of probability, discrete and continuous probability distributions, calculations of normal probabilities, confidence intervals, hypothesis testing, ANOVA, correlation and regression, and non-parametric statistics.

Course Objectives

Through a combination of lecture, discussion, homework, and exams, this course will expand the tools and techniques of statistical analysis that are applicable to the business environment. The student will learn computer-assisted problem solving methods using Microsoft Excel.

ACCEL Course Module, including detailed course objectives.

Course Format

You will receive a "Welcome" email from me about a week before class that will provide access to all course materials and explain how the course is conducted. Watch for this email!

This is an 8-week course that meets twice each week. However, I have designed it to be a "hybrid" format in which Thursday meetings will in-class (face-to-face) and Monday meetings will on-line. We will review this plan this first evening. The "Assignments" webpage shows which days we will be in-class and online.

All on-line course materials will be delivered asynchronously, meaning that you do not have to be behind your computer at any specified time (you can work when you are most productive).

This course makes intensive use of lecture videos that I have created. These videos are provided in "Flash" format and as podcasts.

Texts

"Statistical Techniques in Business & Economics," 14th Ed., Douglas A. Lind, William G. Marchal, and Samual A. Wathen, McGraw Hill, 2010. ISBN 978-0-07-340176-8, or with CD (not necessary) ISBN 978-0-07-730942-8.

Additional Course Resources

This course assumes that the student has some computer skills and understands how to use products such as email, browsers, word processing, and spreadsheets. We will be learning how to use MS Excel more effectively.

Our calculator is Microsoft Excel 2010. This is available on all campus lab computers. Obviously, you need assess to a computer, access to the Internet via a high speed connection (such as DSL or cable) for playing course videos, and a browser with Flash and the Adobe PDF viewer installed. You are welcome to bring your own laptop to class meetings.

You should consider having a method or device to backup your computer files.

podcast http://www.rjerz.com/c/bs/Podcasts/bsu.xml. If your computer is iPod enabled, click on this link: iTunes.

Basis of Grade

   
Attendance and participation 10%
Homework (Concept Questions) 40%
Four Exams 50%


A:93-100, B+: 87-93, B:80-87, C+: 77-80, C:70-77, D:60-70, F:0-60

Attendance: Attendance is required. Let the instructor know (by phone or email) if you are unable to attend. You get 3 points for each class you attend, 1 point if you notify me ahead of time with a reasonable reason, and 0 points if you are absent and do not let me know. Remember that ACCEL requires attendance the first night - no exceptions!

Homework: You must complete homework questions by the due date. If you get a score that you do not believe reflects your knowledge, you can redo your homework and your highest score counts. In this approach, it is always beneficial to start early even if you just want to get acquainted with the homework questions. Some of your homework questions may appear during lectures, so you are encouraged to become familiar with these assessments before the lectures. You are allowed to collaborate with others when doing your homework, however, you must do your own work. Remember that homework is structured to help you learn. When it comes time for an exam, you will be on your own. All due dates are shown on the Moodle calendar.

Exams: There will be four exams, each equally weighted. It is planned that the exams will be delivered electronically. These exams must be taken independently (i.e., by yourself). If there appears to be any form of collaboration on exams, an academic integrity violation will be filed with the Registrar.

Administrative Items

Make Up Exams: Make up exams are not provided.

Rectifying Scores: During the semester, I will post all your scores on Moodle for you to view. After you get your homework or exam grade, you have a week to complain about your score. Beyond this period, I will not entertain any complaints.

Accommodations: Students with disabilities who believe that they may need accommodations in this class are encouraged to contact the Student Disability Services office as soon as possible to better ensure that such accommodations are implemented in a timely fashion. (SDS Student Handbook)

Classroom etiquette: Please pay a professional courtesy to the instructor and your classmates by turning off all cell phones and pagers during class. The use of computers is allowed only for lecture-related activities. In general, please avoid behavior that distracts from the learning experience of you and your classmates. In online discussions, a courteous tone and politeness is expected. (SAU Student Handbook)

Academic Integrity Policy: For St. Ambrose's policy, please see http://web.sau.edu/registration/documents/AcademicIntegrityPolicy_000.pdf