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GBK 311 110 Business Statistics / Spring 2016
T/Th 1:00 PM – 2:15 PM in Founder’s Hall, Rm# 304
Instructor: Dr. Angela Patrick
Office: Founder’s Hall, 323s
Office Phone: 254-501-5927
Cell Phone: 254-681-1416 (text)
Office: FH #323S
Office Hours: M/W & T/Th 8:30 am – 9:30am, 11am - 1pm
E-mail: abpatrick@tamuct.edu
Access to the Blackboard classroom is at: https://tamuct.blackboard.com
Course Overview and description: Business Statistics is the science of collecting, organizing, and
summarizing data to provide information, stated in numerical form, for the purpose of making objective
business decisions. Descriptive statistics will be the focus of the course with an abbreviated
introduction to inferential statistics. Topics include the foundations of statistical methods of sampling,
classifying, analyzing, and presenting numerical data; frequency and sampling distributions, averages,
dispersion, hypothesis testing, and analyzing up to two populations and population proportions.
Additionally topics include comparing more than two populations and determining the relationship
between qualitative and quantitative variables. The course will employ the use of an online statistics
learning system and a statistical software package for problem assignments, quizzes, and exams, in
conjunction with the text and lectures, in completing course coverage of each statistics topic.
Prerequisite: Junior Classification.
COURSE MATERIALS:

The following materials are REQUIRED.
o A copy and user license of the Hawkes Business Statistics software. This software may be
bundled with a course textbook (optional) or purchased separately. Instructions for how
to download the software and purchase an access code are given below.
o Access to a computer with Microsoft Excel (available in university computer labs).
o Access to a computer with a reliable, fast Internet connection (for uploading and
downloading Hawkes Learning System lessons and exams, and for viewing the course
Blackboard page). Please note that your instructor is NOT available for technical support.
Depending on the nature of the problem, you should contact either the Blackboard
HelpDesk (contact information below) or Hawkes Learning (843-571-2825) for
assistance.

The following materials are OPTIONAL:
o Textboook: Nottingham, Q. J. and Hawkes, J. S. (2013). Discovering Business Statistics.
Charleston, SC: Hawkes Learning Systems. ISBN: Hardcopy w/software: 978-1-93578288-9; Electronic Copy w/software: 978-1-935782-89-6.
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NOTE: A student of this institution is not under any obligation to purchase a textbook from a universityaffiliated bookstore. If you choose to use other sources to purchase the textbook, you must access
www.hawkeslearning.com/store and purchase a separate student access code for your use during this
course. Purchasing the textbook and software package either from the university bookstore or from
Hawkes Learning System will ensure you have the most current software
o
Minitab Express (NOT Minitab 17): You may rent the latest version, from six months to a year,
from the e-Academy On the Hub website using the following URL:
http://www.onthehub.com/Minitab
NOTE: You will have to register with OnTheHub with your student email address in order for you to
purchase or rent the software (this could take 24-48 hours for OnTheHub to verify your email address).
o
Hand held calculator. Must have square root key in addition to the basic functions of addition,
subtraction, multiplication, and division – at a minimum.
ACCESS TO HAKWES LEARNING SYSTEM (HLS):
Go to the Hawkes website, www.hawkeslearning.com, then click on “Get your Access Code” under
“Students” menu. Next, click on “Purchase an Access Code”, and then you will be asked to enter your
school name. Start by typing “Texas A&M,” then choose Texas A&M University –Central Texas once it
appears in the drop-down list. Under “Access Code,” select “Discovering Business Statistics”, and
purchase it.
THE CUSTOMER SUPPORT AT HAWKES IS VERY GOOD, SO DO NOT HESITATE TO CALL THEM FOR
ASSISTANCE. They are great, so don’t hesitate to call for help with installing or trouble-shooting
the software. A real person almost always answers the phone. Their number is 843-571-2825.
COURSE EVALUATION:
Homework Assignments
Exams (four exams)
Assessment
42%
48% (12% each)
10%
Grade Computation: Students earn their course grades by completing scheduled assignments; no extra
credit assignments are given. To pass this course satisfactorily, students must complete each of the
graded items. If a grade of any item is zero, then students receive an “F” final grade.
Grading Scale:
A = 90 – 100%
B = 80 – 89%
C = 70-79%
D = 60 – 69%
F = 59% and below
Homework Assignments: All assignments and exams will be accomplished through the Hawkes
Learning System (HLS). HLS is a Web-based, artificially intelligent assessment and learning system.
There will not be any “traditional” homework assignments, as each student will be required to complete
work on the HLS system. There are 15 assignments throughout the semester (see the “Course Schedule”
below). Homework assignments will be graded on a scale of either 0 or 10. If you complete an
assignment by its due date, then you will get 10 out of 10; otherwise, you will get zero out of ten.
Homework due dates can be found from the “Course Schedule” below.
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o
Chapter Reviews: The graded portions of the homework assignments will be the chapter review
for each of the chapters. Students are advised to work through the practice problems within the
chapter review section of each required chapter, prior to certifying in the chapter. NOTE: When
certifying, ensure you are in the chapter review portion of the HLS chapter; otherwise the work
completed will not count for completion credit. Homework feedback is provided automatically
when completing the chapter review for a grade (also known as certifying). Students will be
given a minimum of “3 strikes”. This means the student may miss up to three questions, before
being sent back to practice. If the student is sent back to practice, the program will automatically
go to the area in which the student is having problems. If the student successfully completes the
certifying chapter review, the student will receive a certificate of completion, which the student
must save. If the student is online when certifying the grade book will be automatically updated.
If the student is not online when certifying, then the student must manually upload the certificate
into HLS (please see the student training video). Chapter 13 is the exception. The Chapter 13
assignment will be found in the WebTests.
o
Additional Assignments: Chapter 12 will have an additional assignment that will be found
through the WebTest function in the Hawkes Learning System. Each will be treated as an
additional assignment. Additionally, the Chapter 13 assignment will be found in the WebTests.
Exams: There will be four objective exams administered during the semester as indicated on the course
calendar. Exams represent the independent work of students. Further, no exam may be taken more than
one time in an effort to improve the score achieved. With the exception of emergencies, any exam not
made up within one week after the scheduled date, will be scored as a zero. All exams will be HLS based
and will be completed online. Exam dates can be found from the “Course Schedule” below. All exams
must be taken to pass the course. HLS provides immediate feedback, upon completion of the exam.
Reenter the exam to see the problems missed and a correct method of answering the problems.
Assessment: At the completion of this course, all students will be required to complete the assessment
assignment found in the Blackboard classroom (NOT in HLS!). The purpose of this assignment is to
identify your statistical skills learned in this course using technology. You will be required to read a
scenario, identify the data, and conduct appropriate descriptive statistical analysis and appropriate
inferential statistical analysis. You will also be required to use either Minitab or MS Excel to assist in
conducting the analyses. Evidence of use of the above technology must be included in the assessment;
therefore, session output from Minitab and/or screen shots (SHIFT/Print Screen) of MS Excel must be
provided pertinent to each answered question (or a combination thereof). See the grading rubric on the
following page.
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Assessment Rubric
Analysis
Satisfactory
Weight 100%
Data and variable
10%
description
Descriptive
statistics
15%
Analysis method
20%
selection
Analysis
conducted
25%
Decision and/or
30%
recommendation
Progressing
50%
Unsatisfactory
0%
Either the data types or
The data types and
The data types and/or the
the variables, or both,
variables are correctly variables were partially
were not correctly
identified.
correctly identified.
identified.
Descriptive statistics
Appropriate descriptive
Either the descriptives
were partially correctly
statistics were calculated
statistics were not
calculated using
using designated
calculated with
designated software
software technology and
designated software
technology and/or
discussed, given the type
technology or they were
discussed, given the type
of data and variables.
not discussed, or both.
of data and variables.
Appropriate methods
Selected methods were Selected methods were
were selected for the
partially appropriate for inappropriate for overall
overall analysis, based on the overall analysis, based analysis, based on the
the data types and
on the data types and
data types and variables
variables, and the
variables, and the
or the methods were not
methods were discussed. methods were discussed. discussed, or both.
Appropriate analysis was Analysis was either not
Appropriate analysis was
partially correctly
conducted using
correctly conducted
conducting using
designated software
using designated
designated software
technology or was not
software technology.
technology.
conducted correctly.
Either the
Based on the results of Based on the results of
recommendations for a
the analysis, the
the analysis the
decision were not based
appropriate
recommendations for a
on the analysis, or the
recommendations for a decision were partially
recommendations for a
decision is given
correct.
decision were incorrect.
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Course Calendar:
The following is a tentative schedule of meetings, readings, and deliverables for the semester. This is
subject to change. When there are major changes, you will be notified by email; a current schedule will
always be available on the Blackboard course website.
COURSE OUTLINE AND ASSIGNMENTS
WK
Section/Topic
Homework / Quiz / Exam
Due Dates
Readings
Week 1:
1/19
1/21
Week 2:
1/26
1/28
Week 3:
2/2
2/4
Introduction
Statistics, Data Reality, Organizing,
Displaying, and Interpreting Data
Introduction
Statistics, Data Reality, Organizing,
Displaying, and Interpreting Data
Chapters 1, 2
Chapter 3
Chapters 1, 2 due 1/24
Descriptive Statistics
Chapter 4
Chapters 3 due 2/7
Week 4:
2/9
2/11
Probability I
Chapter 5
Chapter 4 due 2/14
Week 5:
2/16
2/18
Probability II Review for Exam 1
Chapter 5
Chapter 5 due 2/21
Exam 1 Chapter 1-5 (February 16-21)
Week 6:
2/23
2/25
Week 7:
3/1
3/3
Week 8:
3/8
3/10
Discrete Probability Distributions
Chapter 6
Continuous Probability
Distributions
Chapter 7
Chapter 6 due 3/6
Sampling Distributions Review for
Exam 2
Chapter 8
Chapters 7, 8 due 3/13
Exam 2 Chapter 6-8 (March 8-13)
Week 9:
3/22
3/24
Week 10:
3/29
3/31
Confidence Intervals
Hypothesis Testing
Chapter 9
Spring Break
March 14-18
Chapter 10
Chapter 9 due 4/3
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COURSE OUTLINE AND ASSIGNMENTS
WK
Section/Topic
Week 11:
4/5
4/7
Hypothesis Testing with Two
Samples
Week 12:
4/12
4/14
Review for Exam 3
Readings
Chapter 11
Homework / Quiz / Exam
Due Dates
Chapter 10 due 4/10
Exam 3: Chapter 9-11 (April 12-17)
Week 13:
4/19
4/21
Week 14:
4/26
4/28
ANOVA
Chapter 12
Linear Regression
Chapter 13
Chapter 12, ANOVA Additional
due 5/1
Week 15:
5/3
5/5
Week 16:
5/10
5/12
Chi-square Test
Chapter 15
Chapter 13 due 5/8
Review for Exam 4
Chapter 15 due 5/12
Assessment Due by: May 12
Exam 4 Chapters 12, 13, 15 (May 6-12)
Homework for each chapter:
Chapter 1: Certify a subsection
Chapter 12: Certify Both a subsection and “ANOVA Additional Assignment” through “WebTest” Chapter
13: Certify Only “Chapter 13 Assignment” through “WebTest”
All the other chapters: Certify Only a chapter review
COURSE OBJECTIVE: The student will understand the foundations of statistics, by creating and
interpreting basic statistical graphs and charts, calculating and interpreting measures of central
tendency and variation, and basic probability, (Module 1), probability distributions (Module 2), and
conducting and interpreting hypothesis tests (Module 3). Additionally the student will be able to apply
the statistical foundations in beginning inferential statistics, which include comparing two populations
or more populations, comparing two population proportions, comparing two variables or treatments
for a single population, and relating two variables (Modules 3 and 4). Finally, the student will
understand the concepts of statistical applications to process improvement by creating and interpreting
control charts. The student will meet the course objective and the following student learning outcomes
by using the statistical learning software, Hawkes Learning System (HLS), and by using Minitab
statistical software. The purpose of HLS is to provide each student with an online learning environment
in which the student is able to learn, master, and apply knowledge while working within a mastery
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based pedagogical approach (Hawkes Learning Systems, n.d.). A link to the HLS student training video is
available in the main menu, in the Blackboard classroom. Each student will demonstrate mastery of
each topic by achieving 80% on each assignment and each exam, as outlined in each module.
Competency Goals Statements (certification or standards):
o Module 1: Conduct and apply the statistical foundations (data, populations, samples, central
tendency, measures of variation, and basic probability concepts), using statistical learning
software, Minitab, Microsoft Excel, and calculators, achieving 80% on each homework
assignment and each exam. The specific statistical foundations are found in SLOs: 1 –3.2, 4.1, 4.3,
4.4 and may be found in sections 1.1 – 1.3, 2.1 – 2.6, 3.3 – 3.10, 4.1 – 4.2, 4.3, 4.8, and 5.1 – 5.8 of
the text book and in the Hawkes Learning Software (Ch 1 – 5).
o Module 2: Conduct and interpret statistical methods for discrete and continuous probability
distributions, sampling distributions, and estimating means and proportions, using statistical
learning software, Minitab, Microsoft Excel, and calculators, achieving 80% on each homework
assignment and each exam. The specific distributions and estimations are found in SLOs: 4.2 and
may be found in 6.1 – 6.5 and 7.2 – 7.3b, and 8.1 – 8.4 of the textbook and in the Hawkes Learning
Software (Ch 6 – 8).
o Module 3: Conduct and interpret statistical methods of hypothesis testing for comparing means,
proportions, and treatments, using statistical learning software, Minitab, Microsoft Excel, and
calculators, achieving 80% on each homework assignment and each exam. The specific
hypothesis methods and comparisons may be found in SLOs: 5.1 – 6.2 and may be found in 9.1 –
9.7, 10.1 – 10.7b, and 11.1 – 11.4 of the textbook and in the Hawkes Learning Software (Ch 9 –
11).
o Module 4: Conduct and interpret statistical methods of hypothesis testing for comparing three
or more means, or treatments (ANOVA). Conduct correlations of two variables or treatments,
and relate two linear variables. Test the fit of multinomial probabilities and relate two
categorical variables. Achieve 80% on each homework assignment and each exam, using
statistical learning software, Minitab, Microsoft Excel, and calculators. The specific methods of
testing and comparing three or more populations, correlating, relating continuous and
categorical variables may be found in SLOs: 4.2, 7.1 – 8.2 and may be found in 12.2-12.4, 13.1 –
13.5, 13.8, 15.2 – 15.3, and 17.3 – 17.4 of the text book and in the Hawkes Learning Software (Ch
12, 13, 15).
Student Learning Outcomes (SLOs):
1.
Demonstrate proficiency in reporting data numerically and graphically by achieving 80% on
associated assignments and exams (Chapters 1 – 3).
2.
Demonstrate proficiency in identifying and analyzing the following types and levels of data using
appropriate statistical methods by achieving 80% on associated assignments and exams (Chapters 1 –
2).
2.1
Identify and analyze qualitative (nominal, ordinal) data using appropriate statistical methods.
2.2
Identify and analyze quantitative (continuous, discrete, interval, ratio) data using appropriate
statistical methods.
3.
Demonstrate proficiency in calculating the following descriptive statistics by achieving 80% on
associated assignments and exams (Chapter 4).
3.1
Identify and calculate descriptive statistics based on measures of central tendency
3.2
Identify and calculate descriptive statistics based on measures of variation
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4.
Demonstrate proficiency in analyzing discrete and continuous probability distributions by
achieving 80% on associated assignments and exams (Chapters 4 – 8, 15).
4.1
Identify the properties of probabilities and calculate probabilities using the concepts of
probability, in particular, sets and complements, addition rules, mutual exclusivity, multiplication of
dependent and independent probabilities, conditional probabilities, and basic counting rules (including
permutations and combinations).
4.2
Calculate probabilities within binomial distributions, uniform distributions, normal distributions
and chi-square distributions.
4.3
Calculate probabilities for non-normal distributions using Chebyshev’s Theorem
4.4
Calculate probabilities using the Empirical Formula and the Central Limit theorem
5.
Demonstrate understanding and proficiency in calculating confidence intervals, conducting
hypothesis tests, and calculating p-values by achieving 80% on associated assignments and exams
(Chapters 9 – 10).
5.1
Calculate confidence intervals when the population standard deviation is known/unknown and
for proportions
5.2
Conduct hypothesis testing when the population standard deviation is known/unknown and for
proportions
5.3
Calculate p-values for all hypothesis tests
6.
Demonstrate proficiency in calculating inferential statistics (one or two populations) by
achieving 80% on associated assignments and exams (Chapter 11).
6.1
Compare means or proportions of two populations
6.2
Compare means of two treatments within one population
7.
Demonstrate proficiency in calculating inferential statistics (three or more populations and
relationships) by achieving 80% on associated assignments and exams (Chapters 12 – 13). 7.1 Compare
means of three or more populations using analysis of variance (ANOVA)
7.2
Correlate two variables or treatments using Pearson’s Product Correlation
7.3
Relate two variables or treatments using simple linear regression
8.
Demonstrate proficiency in calculating inferential statistics (relationships of categorical
variables) by achieving 80% on associated assignments and exams (Chapter 15).
8.1
Test the fit of multinomial probabilities with categorical data (goodness of fit).
8.2
Test the relationship of two or more categorical variables (tests of independence).
Meeting the Course Objective and Student Learning Outcomes:
In meeting the course objective and learning outcomes, students must first familiarize themselves with
the Hawkes Learning System and Minitab software. Select the student-training link and listen to the
presentation for HLS. Select the Minitab Tech Support link, select appropriate Minitab software and
familiarize with the software functions. Additionally, become familiar with Excel and the Excel tools
provided in the Calculation Aids folder on the main Learning Module page. Next, select and preview the
lecture presentations and then listen to the recorded lectures. Use the textbook as an additional
reference for your understanding of the material presented in the lectures. Listen to any given
appropriate assignment specific tutorial or Question and Answer, then complete the homework
assignments. In completing the homework assignments follow the instructions given in this syllabus.
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GENERAL INFORMATION:
UNILERT: Emergency Warning System for Texas A&M University – Central Texas
UNILERT is an emergency notification service that gives Texas A&M University-Central Texas the ability
to communicate health and safety emergency information quickly via email and text message. By
enrolling in UNILERT, university officials can quickly pass on safety-related information, regardless of
your location. Please enroll today at TAMUCT.org/UNILERT
Drop Policy: If you discover that you need to drop this class, you must go to the Records Office and ask
for the necessary paperwork. Professors cannot drop students; this is always the responsibility of the
student. The record’s office will provide a deadline for which the form must be returned, completed and
signed. Return the signed form to the records office, wait 24 hours, go into DuckTrax and confirm that
you are no longer enrolled. If you are still enrolled, follow up with the records office immediately. You
are to attend class until the procedure is complete to avoid penalty for absence. Should you miss the
deadline or fail to follow the procedure, you will receive an F in the course.
Academic Integrity: Texas A&M University - Central Texas expects all students to maintain high
standards of honor in personal and scholarly conduct. Any deviation from this expectation may result in
a minimum of a failing grade for the assignment and potentially a failing grade for the course. All
academic dishonesty concerns will be reported to the university's Office of Student Conduct. Academic
dishonesty includes, but is not limited to, cheating on an examination or other academic work,
plagiarism and improper citation of sources, using another student's work, collusion, and the abuse of
resource materials. When in doubt on collaboration, citation, or any issue, please contact me before
taking a course of action. More information can be found
at http://www.tamuct.edu/departments/studentconduct/academicintegrity.php
Disability Support Services: At Texas A&M University – Central Texas, we value an inclusive learning
environment where every student has an equal chance to succeed and has the right to an education that
is barrier-free. The Office of Disability Support and Access is responsible for ensuring that students with
a disability enjoy equal access to the University's programs, services and activities. Some aspects of this
course or the way the course is taught may present barriers to learning due to a disability. If you feel
this is the case, please contact Disability Support and Access at (254) 501-5831 in Warrior Hall, Ste. 212.
For more information, please visit their website at
http://www.tamuct.edu/departments/disabilitysupport/index.php. Any information you provide
is private and confidential and will be treated as such.
Tutoring: Tutoring is available to all TAMUCT students, both on-campus and online. Subjects tutored
include Accounting, Finance, Statistics, Mathematics, and Writing. Tutors are available at the Tutoring
Center in Warrior Hall, Room 111.
Visit http://www.tamuct.edu/departments/academicsupport/index.php and click "Tutoring
Support" for tutor schedules and contact info. If you have questions, need to schedule a tutoring session,
or if you're interested in becoming a tutor, contact Academic Support Programs at 254-501-5830 or by
emailing tutoring@tamuct.edu.
Chat live with a tutor 24/7 for almost any subject on your computer! Tutor.com is an online tutoring
platform that enables TAMU-CT students to log-in and receive FREE online tutoring and writing
support. This tool provides tutoring in Mathematics, Writing, Career Writing, Chemistry, Physics,
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Biology, Spanish, Calculus, and Statistics. To access Tutor.com, log into your Blackboard account and
click "Online Tutoring."
The University Writing Center: The University Writing Center at Texas A&M University-Central Texas
is a free workspace open to all TAMUCT students. The UWC is located in 416 Warrior Hall. The center is
open 11am-6pm Monday-Thursday during the spring semester. Students may work independently in
the UWC by checking out a laptop that runs Microsoft Office suite and connects to WIFI, or by consulting
our resources on writing, including all of the relevant style guides. Students may also arrange a one-onone session with a trained and experienced writing tutor. Tutorials can be arranged by visiting the UWC.
Tutors are prepared to help writers of all levels and abilities at any stage of the writing process.
Sessions typically last between 20-30 minutes. While tutors will not write, edit, or grade papers, they
will help students develop more effective invention and revision strategies.
Library Services: INFORMATION LITERACY focuses on research skills, which prepare individuals to
live and work in an information-centered society. Librarians will work with students in the
development of critical reasoning, ethical use of information, and the appropriate use of secondary
research techniques. Help may include, yet is not limited to: exploration of information resources such
as library collections and services, identification of subject databases and scholarly journals, and
execution of effective search strategies. Library Resources are outlined and accessed at:
http://www.tamuct.edu/departments/library/index.php
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