University of Hawaii – College of Business and Economics
QBA 260-002
(CRN: 13579) Business Statistics
Instructor:
Dr. Kimberly Furumo
furumo@hawaii.edu
Office: K-243, 932-7239
Office Hours: Mondays 10:00am – noon, 1:00 – 4:00pm, and by appointment
Classroom: UCB 114
Course Description:
This course is designed to provide you with a familiarity of the scope and application of
statistical analysis. Topics include the following basic statistical techniques: descriptive
measures, elementary probability, sampling, estimation and testing, regression, correlation,
and analysis of variance. Examples are drawn from business and economics. Students will
learn to use Microsoft Excel© to perform analyses of data. The emphasis is on business
applications rather than rigorous mathematics.
Course Learning Outcomes:
Upon completing the course, the successful student will be able to:
 Explain the concepts and statistical techniques used to analyze business data.
 Use the essential tools of applied statistics, including data analysis, basic probability,
probability models (distributions), sampling theory, confidence interval estimation,
hypothesis testing, analysis of variance, regression and correlation.
 Apply statistical methodology properly.
 Use statistical analysis as decision support in business.
 Understand the complex, dynamic, and multidimensional issues and perspectives
involved in statistical analyses of business situations.
 Employ critical thinking and independent problem-solving skills to business problems.
 Communicate clearly the results of a statistical analysis.
Course Policies:
Course Expectations
Students are expected to participate actively in their learning by attending all course
sessions and reading textbook materials prior to discussion in class. I will not re-teach
material covered in class during office hours or scheduled appointments. Please do not
email me and ask if you “missed anything important”. I like to think that I offer a service
that is always important to students.
Academic Dishonesty Policy
Academic dishonesty includes representing the work of another as one's own or cheating
by any means. Academic dishonesty also includes aiding, abetting, concealing, or
attempting such activity. Students must work independently on all on-line quizzes and
tests in this course. The usual penalty is an F in the course and disciplinary action by the
University.
Documented Disabilities
Any student with a documented disability who would like to request accommodations
should contact the University Disability Services Office - Hale Kauanoe A Wing Lounge,
933-0816 (V), 933-3334 (TTY), shirachi@hawaii.edu - as early in the semester as
possible.
Kilohana: The Academic Success Center
The center provides academic support opportunities for all UH Hilo students that foster
their development into independent, self-motivated learners. Students who visit Kilohana
have access to subject-specific and academic skills tutoring from UHH students selected
for their academic achievement and dedication to helping others succeed. Kilohana is
located on the lower level of the Mookini Library and on the web at
http://hilo.hawaii.edu/kilohana/
Textbook:
Students are required to purchase the textbook and course tool (Connect Plus) to complete
this course. Lind, Marchal, & Wathen, Basic Statistics for Business and Economics, 8th
edition, McGraw Hill, and the Connect Plus online homework tool can be purchased on-line
with a credit or debit card at:
https://connect.mheducation.com/class/k-furumo-fall-2014
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Cost of on-line Textbook and the Connect Plus homework tool = $130
Cost of Connect Plus homework tool (no book) = $65
Instructional Method:
Students are expected to read the textbook material prior to coverage in class. Your
textbook provides several options to help you understand concepts. After reading the
chapter, you are encouraged to visit the textbook resources site at
http://www.mhhe.com/lindbasic8e (video instructions are linked at Laulima—click
Resources—Textbook—Accessing Narrated Power Points). Class time will be used to
reinforce concepts, answer questions, and complete mathematical problems that will
test your understanding of the material. Students will be required to complete
homework assignments and develop models using Microsoft EXCEL. Students may
bring laptops to class. EXCEL will be taught using the Windows operating environment
provided on the class computers.
Course Grading:
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
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On-line homework = 20%
In-class Unit Tests (4 @ 15% each) = 60%
In-class Final Exam = 20%
Homework
Homework assignments will be completed using the online course tool called
CONNECT Plus. Homework assignments are not timed; however, students must have
them completed and submitted by the due date.
Tests
Four, in-class, tests will be given. Tests will consist of multiple choice questions but
require that students complete mathematical problems to obtain correct answers.
Students may use hand written notes, calculators and Excel during the tests; however,
no use of the Internet will be allowed and access to the online textbook will not be
permitted. Students will have one class period to complete each Unit Test. Cell
phones will be collected before the test is administered. Students will be allowed to
collect their cell phones upon completion of the Unit Test
Final Exam
The final exam will consist of multiple choice questions but require that students
complete mathematical problems to obtain correct answers. Students may use hand
written notes, calculators and Excel during the tests; however, no use of the Internet
will be allowed and access to the online textbook will not be permitted. Cell phones will
be collected before the test is administered. Students will be allowed to collect their
cell phones upon completion of the Unit Test.
Grading Scale:
The following grade scale will be used for this course. Please keep in mind that students earn
their grades while faculty simply report and record them. Grade cutoffs are necessary and
the following grading scale is firm.
Grade
Percentage
A
92% - 100%
A-
90% - 91.99%
B+
88% - 89.99%
B
82% - 87.99%
B-
80% - 81.99%
C+
78% - 79.99%
C
72% - 77.99%
C-
70% - 71.99%
D
60% - 69.99%
F
< 60%
For example, if your course average is an 81.99% you have earned a B- in the course. If your
average is an 82% (.01% higher than the 81.99%) you have earned a B in the course.
Students earning the 81.99% will generally feel that the grading scale is “unfair” while
students earning the 82% will see the grading scale as “very fair”. However, this is the scale
and I will not make exceptions in final grades. Therefore, keep in mind that questions (such
as those that follow) will not be effective in changing my mind.
 “My attendance was perfect; can you make an exception this once?”
 “Is there any extra credit I can do to raise my grade?”
 “I am going to lose my financial aid; can you make an exception in this case?”
Planned Schedule (subject to change):
Week
Beginning:
Aug 26
Course Content and
Requirements
Chapter 1: What is Statistics
Aug 28
Chapter 2: Describing Data:
Tables, Frequencies, etc.
Chapter 3: Describing Data:
Numerical Measures
Sept 2 & 4
Sept 9
TEST 1 (Ch’s 1 – 3)
Sept 11
Chapter 4: Describing Data:
Displaying & Exploring Data
Chapter 5: Probability
Concepts
Chapter 6: Discrete Probability
Distributions
Concepts
TEST 2 (Ch’s 4 – 6)
Sept 16 & 17
Sept 23 & 25
Sept 30
Oct 2
Oct 7
Oct 9
Chapter 7: Continuous
Probability Distributions
Chapter 7: Continuous
Probability Distributions
Chapter 8: Sampling Methods
and Central Limit Theorem
Homework
Due Dates
Test
Dates
HW: Ch’s 1-3
Due Sept 8
Test 1:
Sept 9
HW: Ch’s 4 - 6
Due Sept 29
Test 2:
Sept 30
Oct 14
Oct 16
Oct 21
Oct 23
Oct 28 & 30
Nov 4
Nov 6
Chapter 8: Sampling Methods
and Central Limit Theorem
Chapter 9: Estimation and
Confidence Intervals
Chapter 9: Estimation and
Confidence Intervals
HW: Ch’s 7 - 9
Due Oct 22
Test 3:
Oct 23
HW: Ch’s 10 11
Due Nov 24
Test 4:
Nov 25
TEST 3 (Ch’s 7 – 9)
Chapter 10: One-Sample
Hypothesis Testing
Chapter 10: One-Sample
Hypothesis Testing
Chapter 11: Two-Sample
Hypothesis Testing
Nov 11 (no
class)
Nov 13
Nov 18 & 20
Nov 25
Chapter 11: Two-Sample
Hypothesis Testing
Chapter 11: Two-Sample
Hypothesis Testing
TEST 4 (Ch’s 10 – 11)
Nov 27
(no class)
Dec 2
Chapter 12 – Analysis of
Variance
Dec 4
Chapter 13: Linear Regression
and Correlation
Dec 9
Dec 11
Chapter 13: Linear Regression
and Correlation
Academic
Article Analysis
Due Dec 4
(*beginning of
class)
HW: Ch’s 12 14
Due Dec 11
Chapter 14: Multiple
Regression and Correlation
Analysis
Final Exam (Ch’s 12 – 14)
Dec 18
4:10 – 6:10 pm