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Canyon College

COURSE SYLLABUS: Business Statistics & Research in Technology

Course Title:	BIS366 – Business Statistics & Research in Technology
Department:	Computer Science and Information Technology
Instructor:	Jelena Vucetic, PhD, MBA - | E-mail 2 | Vita
Prerequisites:	None

Course Description:

This course is directly concerned with mathematical, probability, and statistical concepts that are typically used in business decision-making, forecasting and other management disciplines involving economics and finance. It presents the ingredients of statistics and research knowledge necessary for success in the majority of management positions in any industry. The course is intended for those students who have not had any prior statistical education, although students who have had statistics should also consider taking the course as a refresher.

Objectives:

Upon successful completion of this course, the student should be able to:

• Define basic statistical terminology
• Differentiate types of data, their collection methodologies and applications
• Organize and graphically present data with frequency distributions
• Understand and apply the normal probability distribution
• Understand the importance and use of confidence intervals and a sample size
• Use hypothesis testing on various research problems
• Understand how statistics can be used in quality and productivity management

Required Textbook:    Online Bookstore

Relevant Business Statistics: Using Microsoft Excel, by D.W. Gerbing. South-Western Publishing Company (Thomson), 1998/1999. ISBN-13: 9780314126801    ISBN: 0314126805

Course Schedule:

Week 1
Required Readings:

• Chapter 1 – Variables and Data; Statistical Analysis Using Excel

Week 2
Required Readings:

• Chapter 2 – Portraying the Values of a Distribution; Density Distributions

Written Exercises #1 (20 points): Chapter 1(1-3a,b,c,d and 1-5a,b); Chapter 2 (2-1, 2-2, 2-13 and 2-15)

Week 3
Required Readings:

• Chapter 3 – Numerical Summaries of a Distribution; Interquartile Range and Box Plots

No Written Assignment

Week 4
Required Readings:

• Chapter 4 – Confidence Interval around a Mean; Quality Control

Written Exercises #2 (20 points): Chapter 3 (3-1a,b, 3-2a,b, 3-3a,b,c and 3-6); Chapter 4 (4-2a,b,c,d, 4-4a,b and 4-6a,b,c)

Week 5
Required Readings:

• Chapter 5 – Hypothesis Test of a Mean; Power Analysis

No Written Assignment

Week 6
Required Readings:

• Chapter 6 – Evaluating a Mean Difference

Written Exercises #3 (20 points): Chapter 5 (5-5, 5-6, 5-8a,b and 5-15a,b); Chapter 6 (6-4a,b,c and 6-6a,b)

Week 7
Required Readings:

• Chapter 8 – Describing Relationships between Variables

No Written Assignment
The instructor will email the Final Exam before the end of Week 7

Week 8
Required Readings:

• Chapter 12 – Forecasting the Future from the Past

Final Exam (40 points) is due end of Week 8. The student should email the exam to the instructor by the end of Day 7 of Week 8.

Readings, Written Exercises and Exams:

The learning methodology used in this course consists of lectures, exercises and readings.

Readings: Students are expected to complete all text and supplementary reading assignments during the week that the assignment is due (see Course Schedule). It is the student’s responsibility to make up all required readings before the end of each week.

Written Exercises: All assigned exercises will be prepared for submission according to the Course Schedule.

Work Week: For the purpose of this course, a work week begins on Monday (Day 1), and ends on Sunday (Day 7).

Grading Scale:

A =	Excellent	90-100
B =	Above average	80-89
C =	Average	70-79
D =	Below average	60-69
F =	Failing grade	59 or below

Evaluation:

Written Exercises	60 (3 x 20 points)
Final Exam	40
Total	100 points

Assignment Formats:

Post all your assignments to the classroom forum. Please avoid using attachments.

Late Assignments and Makeup Tests:

Any work turned in late, up to one week, will be assessed a 10% penalty; up to two weeks, 20% penalty. No work will be accepted after more than two weeks after the due date. All work must be submitted by Day 7 of Week 8.

Attendance:

There are no scheduled online sessions for this class. Most communications will be asynchronous, through threaded discussion, email and the Web site postings.

Academic Honesty:

Canyon College requires students to adhere to high standards of integrity in their academic work. Activities such as plagiarism and cheating are not acceptable and will not be condoned by the College. Students involved in such activities are subject to serious disciplinary action.

Instructor Availability:

As a student of Canyon College you will have the opportunity to communicate with the instructor using her email address: jelena60@canyoncollege.edu or Jelena.Vucetic@worldnet.att.net. Your interaction with the instructor is one-on-one and this is highly beneficial as you proceed through the course. If you send an email, on the subject line please identify the course name, and your name. All material submitted must have the class name as a header, the date, the assignment, and your first and last name.

Example Email:
Subject Line: BIS366: John Smith, Assignment Question