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Course Syllabus for BA
302 Online
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Professor:
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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
9.00 am
– 9:30
am;
5:45-6:15
pm
(Rockwall)
W
9:00 am
-12noon
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1:30pm-3:00pm
R
9:00am-9:30
am
:1:30pm-
3.00 pm
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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. Marshal/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.
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
StudentDisabilityServices@tamu-commerce.edu
Grading Policy:
Evaluation of student performance will be based
primarily
upon four
equally weighted
tests. They will
count for 84% of
the course
grade. There is
no comprehensive
final exam.
Selected home
work problems
will count 16%
of the grade.
Grades for the
course will be
determined by
achieving the
following
average
ranges:
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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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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 are
identified,
but will not
be collected
or graded.
Solution
to most of
these
homework
problems can
be found at
the "solved
problems"
link. These
are intended
for you to
try and
practice on
your own.
You need to
do this.
Additional
selected
homework
problems
(see below)
are assigned
to be turned
in
approximately
each week.
They are
typically
due on a
Saturday,
but early
submissions
would be
appreciated.
The
solutions to
these
problems
will be
provided by
the
following
Monday. Only
doing the 2
or 3
selected homework
problems
to hand in
for each
chapter
probably
will not be
enough to
succeed
in the
course. You
must
attempt to
work and
study the
identified problems
as well for
practice.
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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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Students
are
expected
to:
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Complete
and
submit
the Orientation
Quiz by
Monday, Jan
24,
2011.
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Read
text
assignments
as
scheduled.
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Read
the
chapter
lectures.
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Review
text
power
point
presentation
on
assigned
text
material.
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Work
the identified
homework
problems
independently
(Note:
solutions
may be
found on
course
website).
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Turn
in
selected
homework
problems
due as
indicated.
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Read
the
weekly
(approximately)
email
messages
with
additional
comments
on
subject
matter.
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Exams:
All Exams
will be
conducted
on Thursday
or Friday
evenings
between 7pm
and 9:30pm
Central
Standard
time.
Students
will sign on
the
designated
chapter and
click on the
exam link. A
password
will be
provided and
the time to
complete the
exam will be
strictly
observed.
6.
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.
Class Schedule:
The schedule will depend on class progress.
Chapter
assignments and
tests may be
altered as the
class
progresses.
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Selected Problem
Percentage
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Text Assignment
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Topic
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Exam
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Dates
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1 %
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Chapter 1
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What is Statistics?
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1 %
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Chapter 2
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Describing Data- Frequency
Distribution
and
Graphic
Presentation
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1 %
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Chapter 3
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Describing Data-Measures
of
Central
Tendency
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1 %
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Chapter 4
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Other Descriptive Measures
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Exam 1
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Feb 10
or 11
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1 %
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Chapter 5
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A Survey of Probability
Concepts
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1 %
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Chapter 6
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Discrete Probability
Distributions
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2 %
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Chapter 7
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The Normal Probability
Distribution
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1 %
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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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Mar 10
or 11
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1 %
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Chapter 9
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Estimation and Confidence
Intervals
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2 %
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Chapter 10
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One-Sample Tests of
Hypothesis
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1 %
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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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Apr 14
or 15
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2 %
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Chapter 13
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Linear Regression and
Correlation
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2 %
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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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May 12
or 13
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IDENTIFIED PROBLEM
ASSIGNMENTS (To
study and solve
on your own-
Solutions in
solved problems):
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
SELECTED HOME WORK PROBLEMS
TO BE TURNED IN-
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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.
The assigned
selected
homework
problems
are due on
the
Saturdays
that are
indicated at
midnight.
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Chapter
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Selected Problem(s)
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Due Date
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Chapter 1
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Orientation Quiz
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Jan 24
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Chapter 2
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#17 page 39, #21 page 43
(Note:
hand
sketches
are
acceptable
for
histogram,
frequency
polygon,
etc.)
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Jan 24
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Chapter 3
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#62 page 89, #80 page
94 (Note:
additional
problems
will be
assigned
for
these
problems
for
Chapter
4),
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Jan 29
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Chapter 4
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#9 page 107, #14 page 111,
also
calculate
the Coefficient of
Variation
for
problem
#3-62
and the
Pearson
Coefficient
of
Skewness
for
problem
#3-80
from
chapter
#3.
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Feb 5
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Chapter 5
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#50 page 174, #62 page
175, #66
page 176
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Feb 19
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Chapter 6
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#5 page 190, #24 page 200,
#34 page
208
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Feb 25
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Chapter 7
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#19 page 235,also calculate
the
percentage
of
returns
which
are less
than
$3000,
#21 page
235, #26
page 237
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March 5
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Chapter 8
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#34 page 285, #42 page 286
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March 26
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Chapter 9
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#8 page 298, #40 page 316,
#61 page
318
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April 2
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Chapter 10
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#32 page 357, #46 page
359, #54
page 360
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April 9
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Chapter 11
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#6 page 371, #16 page 380,
#12 page
375
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April 23
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Chapter 13
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Problem 13-4 page 463. In
addition
to
solving
for r
and r
squared,
test the
model
for
statistical
significance,
and
interpreting.
Find
the
regression
equation,
and Syx and solve
by
excel.
(Hand
Sketch
of the
scatter
diagram
is
acceptable).See
ch.
sidebar
for
further
instructions
on this
assignment.
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April 30
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Chapter 14
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Solve the assigned
problems
using
excel
solutions
only.
See ch.
sidebar
for
further
instructions
on this
assignment.
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May 7
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