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Course
Syllabus for BA 302
(Summer inclass)
Professor:
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Dr. E. J. 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 5:30-6pm(UCD)
W 10:00am-12noon;
1:30pm-3:00pm
R 5:30am- 6pm(UCD)
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Phone:
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903.886.5684 (office)
903.886.5693 (fax)
903.455.8829(home)
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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, analysis
of variance, 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 graduate 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.
Special Accommodations
Students requesting accommodations for disabilities must go
through the academic support committee. For more
information, please contact the Coordinator of Disability
Resources and Services, G-Library., Room 132, 903-886-5835.
Grading Policy
Evaluation of student
performance will be based primarily upon three 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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Attendence
Policy
Attendence
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 Student's Guide Book.
Special
Accommodations
Students requesting accommodations for disabilities must go through
the academic support committee. For more information ,
please contact the Director of Disability Resources and Services ,
G-Library., Room 132, 903-886-5835.
NOTE THE FOLLOWING:
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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.
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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 problem can be found at
this link. Several problems from the
homework may be assigned to be solved using the computer.
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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.
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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.
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Attendance Policy : You are expected to be
present and on time 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 daily lives and 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:
There are five different types of
actions that will bring sanction.
They are:
- Illegal activity:
Violation of any local, state or federal laws that prohibit the
offender from performance of his or her duty.
- Dishonest
Conduct: Seeking or obtaining
unfair advantage by stealing or receiving copies of tests or
intentionally preventing others from completing their work.
In addition falsifying of records to enter or complete a
program will also be considered dishonest conduct.
- Cheating:
The unauthorized use of
another’s work and reporting it as your own.
- Plagiarism: Using
someone else’s ideas and not giving proper credit.
- Collusion:
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 the 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 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 Student’s Guidebook.
Faculty, staff and students will always be afforded due process and review
as appropriate.
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 accommodationClass 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 homework problems as possible and be familiar with the chapter
summaries and the end of chapter sef-examinations.
Text Assignment
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Topic
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Exam
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Date
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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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Chapter 5
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A Survey of
Probability Concepts
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Exam 1
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June 17
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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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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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Exam 2
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June 28
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Chapter 11
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Two-Sample Tests of
Hypothesis
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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 3
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July 8
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PROBLEM ASSIGNMENTS (To solve on your own)
Chapter 1:
5,6,7,8,9
Chapter 2:
18, 22
Chapter 3:
3,18, 20, 37, 41, 46, 47, 58, 59, 60, 65
Chapter 4:
5,10,11,13,19,15, 22,19,2 4, 25, 26
Chapter 5:
11,12,13,17,18, 20, 27, 28, 41, 42, 43, 44, 45,
71
Chapter 6:
1, 2, 9,10,11,13,19, 20, 21, 22, 23, 31, 32,
34, 35, 36, 45, 46, 62, 63
Chapter 7:
10,13,15,16,17,18, 21, 31, 32, 33, 39
Chapter 8:
6,15,16,17, 33, 35
Chapter 9:
1, 2, 3, 5, 7, 9, 11,12,15,16,17,18,19, 20, 23,
27, 29, 31
Chapter 10:
1, 2, 5, 6, 7, 8, 9, 10,11,12,19, 20, 32, 36,
35, 52, 54
Chapter 11:
3, 4, 5, 8,13,15,16, 28, 33
Chapter 13:
1, 2, 7, 8,15,16, 21, 22, 23, 24, 27, 28, 29,
30
Chapter 14:
1, 2, 3, 4
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