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Centenary College
Hackettstown, NJ
PHONE: (732) 435-4880 Ext:3916
FAX: (732) 435-4861
E-Mail: dnchelst@gmail.com or chelstd@centenarycollege.edu
Course Materials On the Web: www.chelst.com

COURSE SYLLABUS BUS 309: Fall 2005

Course: Business Statistics
Instructor: Dr. Dov Chelst
Course Number: BUS 309
Contact Hrs: 3
Prerequisite:
Credit Hrs: 3

Office Hours: Tuesday 11am-12pm

COURSE SPECIFICS (Very Important!)

Required Text: Elementary Statistics: Picturing the World, Third Edition, Larson & Farber, Prentice-Hall / Pearson, 2005

Suggested Supplement: Data Analysis Using Microsoft Excel: Updated for Office Xp, 3rd ed., Michael Middleton, Duxbury Press, 2003

Reference Books:

  1. Statistics for Managers, Third Edition; Levine, Stephan, Krehbiel and Berenson; Prentice-Hall, 2002
  2. Elementary Statistics, Ninth Edition, Johnson & Kuby, Thomson, 2003

Course Description: This course provides tools used for statistical analysis and decision-making in business. The course includes both descriptive statistics and inferential concepts used to draw conclusions about a population. Research techniques, such as sample design, are included for both single and multiple sample groups.

The specific topics to be discussed include frequency distributions, design and interpretation of statistical graphs, probability distributions, measures of central tendency, sampling, variability, confidence intervals, hypothesis testing, and possibly linear regression and correlation.

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Learning Outcomes: To present a broad overview of the subject so that a student should be able to do the following:

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Weekly Course Outline:

Week

Sections Topic
1 N/A Course Delay
2 1.1-1.3 Introduction, Definitions, & Data Collection
3 1.3-2.2 Random Sampling, Frequency Distribution, Graphs and Displays
4 2.3-2.4 Measures of Central Tendency, Measures of Variation, Empirical Rule and Chebyshev's Theorem,
5 2.5, 3.1, 3.3 Measures of Position, Probability Conceptsity Concepts, Addition Rule
6 3.2, 3.4 Conditional Probability, Independent Events, Counting Principles, Permutations and Combinations.
7 4.1
Exam #1
Discrete Probability Distributions, Mean & Standard Deviation of Discrete Random Variables.
Covers first 3 chapters.
8 4.2-4.3Bernoulli, Binomial, (Geometric) and Poisson Distributions
9 5.1-5.3 Standard Normal Distributions, Using the Z-table
10 5.4-5.5 Normal Distributions: Finding Values, Sampling and the Central Limit Theorem
11 6.1-6.2 Confidence Interval of Means: Large and Small Samples
13 6.3, 7.1 Confidence Interval Estimates of Proportions and Introducing Hypothesis Testing
14 7.2-7.3 Hypothesis Testing of Means (and proportions?): Large and Small Samples
15 9.1-9.2 Correlation and Linear Regression. Exam Review
Final Exam Covers Chapters 4-7
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GRADING:

Grade Division Final Grade Scale
(Graded) Homework 20% 90 to 100 A- to A
Weekly Quizzes 25% 80 to 89 B- to B+
Midterm Exam 25% 70 to 79 C- to C+
Final Exam 30% 60 to 69 D to D+
Total 100% 0 to 59 F
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HOMEWORK: Textbook exercises will be assigned at every class meeting. Students are expected to complete all homework in order to best understand the course material. These assignments will not be collected or graded. In addition, there will be homework assignment requiring the use of Microsoft Excel that will be collected and graded. These assignments will be due one week after they are assigned. No late homework will be accepted.
QUIZZES: Quizzes will be administered on a weekly basis and last approximately 15 minutes. Quiz problems will closely resemble homework problems. A few quizzes may test the material that one must learn before studying the course material. This includes: basic arithmetic, fractions, percentages and calculator exercises. At the instructor's discretion, students may be asked to retake these quizzes until they demonstrate a sufficient "comfort level" with these basic operations.
The lowest quiz grade will be dropped.
EXAMS: Examinations will be announced TWO WEEKS in advance. Make-up exams will not be allowed unless the instructor is notified in advance and a valid written excuse is provided. Any indication that a student did not act swiftly to explain a missed exam, will disqualify him/her from receiving a make-up.
TECHNOLOGY:
  • Each student is expected to bring their own scientific calculator with basic statistical functions (or a computer) to each class.
  • Each student will be required to access the internet to use both the course's Blackboard website and to read and send e-mail.
  • Each student will need to be able to use Microsoft Excel.

ACADEMIC
INTEGRITY

Students are expected to behave in a manner that maintains the honesty and integrity of the classroom. Consequently, students should not attempt to gain an advantage by lying to the instructor. Students must refrain from all attempts to benefit unfairly from another student's work. While students are encouraged to discuss homework problems and course material together, they must share only ideas. The following examples illustrate what constitutes academic dishonesty:
  • Involvement in fabricating an excuse to obtain a new or late exam.
  • Using an internet browser or instant messaging client during a quiz or exam for a purpose that was not specifically allowed by the instructor.
  • Buying another student's assignment and handing it in as your own work. (Both students are considered responsible)
  • Using another student's computer file to hand in as your own work, EVEN IF IT IS PERSONALIZED AFTER IT IS ORIGINALLY COPIED.
  • Copying the answers to any problem from another student on an exam or quiz.
  • "Cooperating" in the solution of an assignment that results in two or more students generating multiple copies of (essentially) a single document attributed to the entire "team."

For the consequences of violating these rules, see below.

SCHOOL POLICIES: All school policies will be followed in the class. In addition,
  • Attendance will be taken during each class period.
  • Students are responsible for all work missed due to absences and tardiness.
  • Beepers and cellular phones must be turned off during class.

Keys To Success

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Disability Accomodations Statement

Students with documented disabilities are entitled under the law to reasonable accommodations. If you have a disability and need accommodations, please notify the instructor as early as possible during the semester. You should also contact the Office of Disability Services:

908.852.1400 ext. 2251 or dso@centenarycollege.edu

CENTENARY Greater Expectation Learning Outcomes (CGEs)

In March 2004, the Centenary Faculty adopted the Centenary Greater Expectation Learning Outcomes. It is very important for assessment purposes that all stakeholders understand the value added that is part of a Centenary education. By the time students graduate from Centenary College, they will be able to:

CGE 1.Communicate in diverse settings and groups, using written, oral, and visual means.
CGE 2.Understand and employ both quantitative and qualitative analysis to describe and solve problems.
CGE 3.Interpret, evaluate, and use information discerningly from a variety of sources.
CGE 4.Integrate knowledge of various types and understand complex systems.
CGE 5.Work well in teams, including those of diverse composition, and build consensus.
CGE 6.Understand and employ the integrity, social responsibility and ethical behavior required for a diverse democratic society.

Academic Honesty Revisited

All students are expected to adhere to Centenary College's policy concerning academic honesty. Any student found cheating, plagiarizing, submitting non-original work, etc., will receive a grade of zero (0) for that work. Flagrant cases of academic dishonesty may result in the student being dismissed from the class and referred to the Academic Review Board for further action or sanction as deemed appropriate, up to and including dismissal from Centenary College.

"Publication"

"Publication" of written work and assignments -- By your continuation in this course and by submitting written assignments and work, you understand that you are granting me a limited license to publish that work for the purposes of grading the work. That limited license extends to my submission, within my sole discretion, to various electronic grading tools (e.g., grading books, cite checkers, etc.).

Academic Code

Students should be aware that all violations of the Academic Code, which can be found in the College Catalog and the Student Handbook, will be reported by the faculty member to the Academic Review Board for their consideration.