QM 2610
Statistical Methods I
Instructor: Mirza B. Murtaza
Office: N 335
Tel. No. : 904-8348
Web: http://www.mtsu.edu/~mmurtaza
E-mail: mmurtaza
Office Hours: MW 10:00 – 2:00 PM, Tu 4:00 – 6:00 PM
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Students with disabilities that may require assistance or accommodation, or
students who have questions related to any accommodations for testing, note
takers, readers, etc., please speak with the course instructor as soon as
possible. Students may also contact the Office of Disabled Student Services
(898-2783) with questions about such services.
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and a 3.0 GPA after attempting 48 hours or more. Students who drop below full-time status (12
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Vision Statement
The Jennings A. Jones College of Business
intends to become recognized by appropriate national publications, both popular
and professional, as a premier college of business, first in the state of
Tennessee and then in the region, at both the undergraduate and masters level.
We also intend to be recognized by
The most important
accomplishments of the University happen in the classrooms, in the research
environments, and in the professional interactions. All other activities are
designed to facilitate these important accomplishments.
We will strive for
Accessibility, Quality and Value. Accessibility means we use creative and
innovative methods to make education available to all who meet the requirements
for admission. Quality means we will continuously raise the academic bar to
produce graduates who distinguish themselves in their chosen fields. Value
means we will appropriately intersect accessibility and quality with cost.
The Jennings A. Jones
College of Business seeks to provide the intellectual foundation for our
students' life-long learning and success. Drawing students extensively from the
regional population with an increasing emphasis on national and international
diversity, the
In addition to a sustaining
emphasis on quality teaching and learning through classroom research, student
professional organizations, and advisory activity, the faculty of the
The
Text: Business Statistics in Practice, 3rd
Edition by Bowerman and O’Connell, McGraw-Hill, 2003. ISBN 0-07-247026-7.
Pre-requisite: Math 1630 or its equivalent
Course Objectives: An important aspect of being a manager is making decisions. The best decisions are those that are made based on facts. Such decisions require the use of data that often exhibit variation. In this class, the underlying principle will be the use of statistical analysis of data to make intelligent, fact-based decisions. We will specifically work on learning the following topics:
Course Evaluation: Three (3) examinations will be given throughout the semester, including final exam. Each in-class examination will include both short-answer and problem-oriented (application, computation, interpretation) questions. Students may create a maximum of ONE original page of reference material for each exam. Calculators may also be used during each exam and will certainly be useful throughout the course. The third (final) examination will include several comprehensive questions as appropriate.
1 Final Exam 35%
Quiz/Assignments 5%
3 Projects 10%
90 and above A
87 to 89.9 B+, 83 to 86.9 B, 80 to 82.9 B-,
77 to 79.9 C+, 73 to 76.9 C, 70 to 72.9 C-,
67 to 69.9 D+, 63 to 66.9 D, 60 to 62.9 D-,
Below 60 F
Attendance: Regular class attendance is expected. Students are expected to attend all examinations as scheduled. A failure to attend a scheduled exam will result in a grade of zero being averaged into the final grade. Exceptions will be given only in the case of verified illness or when prior arrangement is made for substantive personal reason.
Homework: Practice problems will be given on each chapter (Pipeline access required). They are intended to reinforce the theories and applications presented in class. These problems are NOT to be turned in and will be reviewed in class as requested. Several online quiz questions will be given on each chapter, you are to complete those on your time before the deadline, this deadline WILL NOT be extended for an individual under any circumstances. In addition, three projects will be assigned during the semester that will require data analysis and use of Excel.
Each student must do his/her own work. Duplicate work will not be accepted and will receive a failing grade. Any academic dishonesty will not be tolerated and will be handled according to the guidelines and procedures established by MTSU.
Tentative Schedule:
Week Chapter Topics
1 (8/31) 1 Introduction, Data and its sources, sampling
2 (9/7) 2 Data Tables, Charts and Graphs
3 (9/14) 2, 3 Describing Numerical Data, Basic Probability
4 (9/21) 3 Basic Probability
5 (9/28) Exam I
6 (10/5) 4 Discrete Probability Distributions
7 (10/12) 5 Normal and Other Continuous Distributions
8 (10/19) Break
9 (10/26) 6 Sampling Distributions
10 (11/2) Exam II
11 (11/9) 7 Confidence Interval estimation, Sample size
12 (11/16) 7 Confidence Interval estimation, Sample size
13 (11/23) 8 Hypothesis Testing (One sample)
14 (11/30) 8 Hypothesis Testing (One sample)
15 (12/7) Review
Final Exam