COURSE SYLLABUS
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YEAR COURSE OFFERED:
2016
SEMESTER COURSE OFFERED:
DEPARTMENT:
Spring
STAT
COURSE NUMBER:
3331
NAME OF COURSE:
Statistical Analysis for Business Applications I
NAME OF INSTRUCTOR:
Dr. Staci Smith
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The information contained in this class syllabus is subject to change without
notice. Students are expected to be aware of any additional course policies
presented by the instructor during the course.
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Learning Objectives
To give students the basic quantitative skills necessary to take business data, use statistical
procedures/methods to analyze it (with the aid of Microsoft Excel), and be able to interpret the
results.
Major Assignments/Exams
Homework
Exam 1
Exam 2
Exam 3
16%
28%
28%
28%
Required Textbook
The UH Customized Version of Essentials of Modern Business Statistics, 6th edition, by Anderson,
Sweeney, and Williams (available for purchase at www.cengagebrain.com/course/1-24E5EMZ).
Required Calculator
The TI-30XA calculator. This calculator will be used for in-class calculations, and is the only
outside calculator that will be permitted by CASA for use on STAT 3331 exams.
Page 1 of 5
COURSE SYLLABUS
List of discussion/lecture topics (page 1)
Class
1/19-1/21
Topics to be Discussed
Descriptive Statistics (Chap 3:Sect 1-3, 5)
-Measures of Location
-Measures of Variability
-Distribution Shape
-Measures of Association
HOMEWORK 1 (Chapter 3). Due date TBA.
1/26-2/4
Probability (Chap 4:Sect 1[reading only], 2-4, 5[exercises only])
-Properties of Probabilities
-General Law of Addition
-Mutually Exclusive Events
-Conditional Prob.
-General Law of Multiplication
-Independent Events
HOMEWORK 2 (Chapter 4). Due date TBA.
2/9-2/11
Discrete Random Variables (Chap 5:Sect 1[reading only], 2-4)
-E.V. and Var. of a R.V.
-Binomial Dist.
HOMEWORK 3 (Chapter 5). Due date TBA.
2/18
2/19-2/20
In-Class Review for EXAM 1
TAKE EXAM 1 AT CASA.
2/16, 2/23
Continuous Random Variables (Chap 6:Sect 2)
-Normal Dist.
Sampling Distributions (Chap 7:Sect 3-4[reading only], 5-6)
-Samp. Dist. of x
-Samp. Dist. of p
2/25
HOMEWORK 4 (Chapters 6-7). Due date TBA.
Page 2 of 5
COURSE SYLLABUS
List of discussion/lecture topics (page 2)
Class
3/1-3/10, 3/22
Topics to be Discussed
Single Sample Inference (Chap 8:Sect 1-2, 4; Chap 9:Sect 1[reading
only], 3-5)
-C.I. for µ, σ known
-C.I. for µ, σ unknown
-C.I. for p
-Hyp. testing for µ, σ known
-Hyp. testing for µ, σ unknown
-Hyp. testing for p
3/15-3/17
Spring Break
HOMEWORK 5 (Chapters 8-9). Due date TBA.
3/24
3/25-3/26
In-Class Review for EXAM 2
TAKE EXAM 2 AT CASA.
NOTE: The last day to drop this course is 4/1.
3/29-4/7
Two Sample Inference (Chap 10:Sect 2-3; Chap 11:Sect 1)
-C.I. for µ1 - µ2, σ1 & σ2 unknown, indep. samples
-C.I. for µ1 - µ2, σ1 & σ2 unknown, dep. samples
-C.I. for p1 - p2
-Hyp. testing for µ1 - µ2, σ1 & σ2 unknown, indep. samples
-Hyp. testing for µ1 - µ2, σ1 & σ2 unknown, dep. samples
-Hyp. testing for p1 - p2
HOMEWORK 6 (Chapters 10-11). Due date TBA.
4/12-4/26
Simple Linear Regression (Chap 12:Sect 1[reading only], 2-3,
4[reading only], 5-7)
-Regression equation
-ANOVA table
-se2, r2 , r
-C.I. and Hyp. testing for β1
-C.I. for mean value of y
-P.I. for indiv. value of y
HOMEWORK 7 (Chapter 12). Due date TBA.
4/28
4/29-4/30
In-Class Review for EXAM 3
TAKE EXAM 3 AT CASA.
Page 3 of 5
COURSE SYLLABUS
About Our Learning Goals
The C. T. Bauer College of Business has established learning goals for each of our
programs as part of our accreditation by the Association for Advancement of
Collegiate Schools of Business (AACSB). AACSB establishes standards for business
programs across the globe that determines how our programs are measured and
ensure that the courses offered to Bauer students are relevant and challenging.
Why do these learning goals matter to you?
For Bauer students, the learning goals are important because they contribute to
AACSB accreditation, which is the cornerstone of a degree that has substantial
market value and will serve the goals and interests of employers, students and
alumni for years to come. For Bauer faculty, showcasing how the learning goals are
incorporated into courses allows the college to measure the effectiveness of our
curriculum and to adapt it as necessary to meet the changing needs of both
students and industry.
Read more about Bauer College’s learning goals at www.bauer.uh.edu/about/learninggoals.php.
Page 4 of 5
COURSE SYLLABUS
The following table indicates which program learning goals will be addressed
within the scope of this course.
BBA Program Learning Goals and Objectives
Working Knowledge
of Ethics and Legal
Compliance
Students will
demonstrate
awareness of ethical
and legal issues with a
framework for
resolving them
Disciplinary
Competence
Communication
Skills
Students will
demonstrate
competence in their
respective
disciplines
Students will
communicate in an
effective and
professional manner
through written
and/or oral
presentation
assignments
Critical Thinking
Students will apply
problem solving
models to business
situations
Is the Goal
Addressed
Yes
Yes
Yes
Yes
How the Goal
is addressed
Students will analyze
data using proper
statistical methods.
Students will learn to
identify when data is
manipulated,
inappropriate
assumptions made, or
incorrect statistical
methods used to
achieve favorable
results and to
appropriately correct
these issues to
produce legitimate
results.
Students will display
proficiency using
statistical
procedures on data
from a variety of
disciplines. These
statistical
procedures are
demonstrably
applicable and
advantageous to all
business disciplines.
Numbers are
meaningless without
a correct
interpretation.
Therefore students
will learn to
effectively
communicate the
meaning of
numerical results
achieved by
appropriate
statistical analysis.
Students will develop
basic quantitative
skills required to
statistically analyze
data from any
business discipline
and correctly
interpret the results.
Class discussions,
textbook problems,
assigned daily
problems, assigned
homework, and
exams.
Class discussions,
textbook problems,
assigned daily
problems, assigned
homework, and
exams.
Class discussions,
textbook problems,
assigned daily
problems, assigned
homework, and
exams.
Class discussions,
textbook problems,
assigned daily
problem, assigned
homework, and
exams.
Course
assignments
that address
the Goal
Page 5 of 5