Course Syllabus
(Spring inclass)
Professor:
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Dr. Ed Manton
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E-Mail:
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Edgar_Manton@tamu-commerce.edu
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Office:
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BA 327
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Office Hours:
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T 9:00 am- 9:30 am
5:30 pm- 6:15 pm (ROCKWALL)
W 10:00 am- 12 noon;
1:30 pm- 3:00 pm
R 9:00 am- 9:30 am
1:30 pm- 3:00 pm
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Phone:
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903.886.5684 (office) 903.886.5693 (fax)
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Required Text:
D. A. Lind/W. G. Marchal/S. A. Wathen, Statistical Techniques in Business
& Economics – McGraw Hill Irwin, 14th edition ISBN- 978-0-07-340176-8
Course Description:
A course dealing with statistical concepts including measures of central
tendency and dispersion, probability distributions, the Central Limit
Theorem, sampling, estimation, hypothesis testing, correlation and
regression analysis.
Course Prerequisite:
Math 141, 175 or equivalent.
Course Objectives:
The objective of this course is to provide a foundation for the business
student on basic principles of statistics to include measurements of
location and dispersion, probability, probability distributions, sampling,
estimation, hypothesis testing, regression and correlation analysis, and
multiple regression.
1. The student will know the definition of inferential statistics.
2. The student will be able to identify the measures of central
tendency.
3. The student will know the definition of variance.
4. The student will be able to use the normal distribution table to
solve a problem.
5. The student will be able to use the binomial distribution tables
to solve a problem.
6. The student will be able to use the
POISSON
distribution table to solve a
problem.
7. The student will know the definition of a sampling distribution
of means.
8. The student will know the central limit theorem.
9. The student will know the definition of a Type I and a Type II
error.
10. The student will be able to calculate a confidence interval for
a population parameter.
11. The student will be able to test a statistical hypothesis.
12. The student will know the definition of correlation.
13. The student will know how to calculate a correlation
coefficient.
14. The student will know how to calculate a regression equation.
Grading Policy:
Evaluation of student performance will be based primarily upon four
equally weighted tests. There is no comprehensive final exam. Grades for
the course will be determined by achieving the following average ranges:
Average Range
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Grade
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90-100
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A
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80-89
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B
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70-79
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C
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60-69
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D
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Below 60
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F
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Attendance Policy:
Attendance is mandatory .Anticipated absences for work related reasons
should be explained to instructor in advance. Students are expected to be
on-time for class. Class room door may be locked after class commences.
Classroom Demeanor:
“All students enrolled at the university shall follow the tenets of common
decency and acceptable behavior conducive to a positive learning
environment.” See Students Guide Book.
NOTE THE FOLLOWING:
-
The assignments listed are tentative for the semester. It is meant to
be a guide. Certain topics may be stressed more or less than indicated
in the text and, depending on class progress, certain topics may be
omitted.
-
Homework: Homework problems will be assigned, but will not be
collected or graded. Selected Problems will be solved in class during
lectures. Solution to homework problems can be found at
this link.
Several problems from the homework may be assigned to be solved using
the computer.
-
You will be informed at least one week before each of the four exams.
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Missed examination: A missed examination may be made-up during the
week of final exams. This make-up exam will be comprehensive.
-
Classroom
Demeanor: “All students enrolled at the university shall follow tenets
of common decency and acceptable behavior conducive to a positive
learning environment ”. See Students Guide Book.
-
Attendance Policy : You are
expected to be present for all class meetings of this course.
You will be allowed to make up work for classes you miss only
if your absence is excusable.
Excusable absences are defined in the current University Catalog.
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Special Needs : “Request from
students with disabilities for reasonable accommodations must go
through the academic support committee. For more information, please
contact the office of Advisement Services, BA 314 , 903 – 886 – 5133.
Statement of Ethical and Professional Conduct:
The College of Business and technology at Texas A&M University
–Commerce faculty , staff and students will follow the highest level of
ethical and professional behavior. We will strive to be recognized as a
community with legal, ethical and moral principles and to teach and
practice professionalism in all that we do.
In an academic environment we will endeavor to not only
teach these values but also to live them in our lives and daily work.
Faculty and staff will be held to the same standards and expectations as
our students.
Failure to abide by these principles will result in sanctions up to
and including dismissal.
Actionable Conduct:
These
are five different types of actions that will bring sanction. They are:
1.
Illegal activity: Violation of any local, state or federal laws that
prohibit the offender from performance of his or her duty.
2.
Dishonest conduct: Seeking or obtaining unfair advantage by stealing or
receiving copies of tests or intentionally preventing others form
completing their work. In addition falsifying of records to enter or
complete a program will also be considered dishonest conduct.
3.
Cheating: using someone else’s ideas and not giving proper credit.
4.
Plagiarism: using someone
else’s ideas and not giving proper credit.
5.
Conclusion: Acting with others to perpetrate any of the above actions
regardless of personal gain.
Sanctions:
In the case of staff or faculty the immediate supervisor will be the
arbiter of actionable behavior and will use Texas A&M University Commerce
and/or Texas A&M University System Policy and Procedures as appropriate to
guide sanctions.
Faculty, guided by clearly delineated policy in the course syllabus
, will be arbiter for in-class violations. All violations will be reported
to the dean of the college of Business and technology to assure equity and
to provide appropriate counsel. In addition, the Dean will maintain the
records of violations by students. Second violations will be reviewed by
the Dean and sanctions beyond those of the faculty up to and including
suspension and permanent expulsion from Texas A&M University –Commerce
will be considered. Faculty and students are guided by the current
undergraduate and graduate catalogs of the university as well as The
Students Guidebook.
Faculty, Staff and Students will always be afforded due process and
review as appropriate.
Special Accommodations:
Students with Disabilities:
The Americans with Disabilities Act (ADA) is a federal anti-discrimination
statute that provides comprehensive civil rights protection for persons
with disabilities. Among other things, this legislation requires that all
students with disabilities be guaranteed a learning environment that
provides for reasonable accommodation of their disabilities. If you have a
disability requiring an accommodation, please contact:
Office of Student Disability Resources and Services
Texas A&M University-Commerce
Gee Library, Room 132
Phone (903) 886-5150 or (903) 886-5835
Fax (903) 468-8148
Email:
StudentDisabilityServices@tamu-commerce.edu
Class Schedule:
The schedule will depend on class progress. Chapter assignments and tests
may be altered as the class progresses. Students should read chapters, do
as many of the identified homework problems as possible and be familiar
with the chapter summaries and the end of chapter self-examinations.
Text Assignment
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Topic
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Exam
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Chapter 1
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What is Statistics?
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Chapter 2
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Describing Data- Frequency Distribution and Graphic Presentation
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Chapter 3
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Describing Data-Measures of Central Tendency
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Chapter 4
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Other Descriptive Measures
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Exam 1
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Chapter 5
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A Survey of Probability Concepts
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Chapter 6
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Discrete Probability Distributions
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Chapter 7
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The Normal Probability Distribution
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Chapter 8
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Sampling Methods and the Central Limit Theorem
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Exam 2
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Chapter 9
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Estimation and Confidence Intervals
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Chapter 10
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One-Sample Tests of Hypothesis
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Chapter 11
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Two-Sample Tests of Hypothesis
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Exam 3
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Chapter 13
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Linear Regression and Correlation
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Chapter 14
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Multiple Regression and Correlation Analysis
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Exam 4
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IDENTIFIED PROBLEM ASSIGNMENTS (To study and solve on your own):
Chapter 1:
1,5,6,7,8,9
Chapter 2:12,18,
22
Chapter 3:
3,10,14,18, 20, 37, 41, 46, 47, 49,53,54, 59, 60, 65
Chapter 4:
5,10,11,13,19,20, 22,2 4, 25, 36
Chapter 5:
1,3,4,8,11,12,14,17,18,
26,27, 28,29, 41, 42, 43, 44, 45, 66,67,78
Chapter 6:
1, 2,5,7, 9,13,15,19, 20, 21, 22, 23, 31, 32,33, 34, 35, 46, 60,61
Chapter 7:
4,9,11,13,17,18,
20,21, 23,24,26,29,30,31, 32, 41
Chapter 8:
6,15,16,17, 18,34,35
Chapter 9:
1, 2, 3, 4,5, 7, 9, 11,12,13,15,16,17,18,19, 20, 23, 27, 29,
31,43,44,46,48,50
Chapter 10:
1, 2, 5, 6, 7, 8, 9, 10,11,12,13,18,19, 20, 21,22,23,25,32, 36, 35, 52, 54
Chapter 11:
3, 4, 5, 6,8,11,12,14,15,16,19,25,28,32, 33 ,
Additional problem 1, 2
Chapter 13:
1, 2, 5,7, 8,13,14,15,16,19, 21, 22, 27, 28
Chapter 14:
1, 2, 3, 4
To
be solved using computer and to be turned in for each problem. Also
calculate the
a.
Correlation coefficient ,r
b.
The statistical significance of r
c.
The coefficient of determination,
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“Turn in computer printout solution from Excel.