CRN: 61065
ECON 2113 - 003
Business Statistics – Section 3
Fall 2011
Available: August 22 – December 13, 2011
Meetings: Room BU 301, Tuesdays & Thursdays, 09:30am – 10:45am
Professor: Dr. Gauri-Shankar Guha
Office: 107 B Business Building
Phone: (870) 680 8465; Fax: (870) 972 3088
Email: gguha@astate.edu
Website: http://myweb.astate.edu/gguha
Office hours:
Tue/Thu 11:00am – 12:00noon and Wed 09:30am – 12:00noon
Also by appointment via email.
COURSE DESCRIPTION
This course trains students in conventional statistical methods used to analyze business
and economic datasets and equips them with decision support skills. The coverage of
topics include averages, dispersions, probability, sampling, statistical inference,
estimation, test of hypotheses, correlation and linear regression.
Prerequisite: MATH 1023 and CIT 1503 (or equivalent computer proficiency).
LEARNING GOALS
Upon successful completion of the course, students will demonstrate the skills and ability
to carry out the following tasks:
Learning Goals of ECON 2113 – Business Statistics
Collect and organize datasets and be able to calculate both graphical
and numerical univariate descriptive statistics like frequency tables,
histograms, graphs, charts, mean, variance, standard deviation, etc.
Calculate bivariate descriptive statistics, like contingency tables;
covariance & correlation analysis
Calculate general probability; and be able to use discrete &
continuous probability distributions and sampling distributions.
Derive inferential statistics like point estimates of means and
proportions, and create confidence interval estimates.
Carry out tests of hypotheses about population means and proportions
Build Linear / Multiple Regression Models using MS-Excel, and
interpret the results
Assessment
Objective(s)
Technology
Critical Thinking
Business Knowledge
Technology
Critical Thinking
Critical Thinking
Critical Thinking
Technology
Critical Thinking
Business Knowledge
Technology
Critical Thinking
Business Knowledge
Dr. Gauri S Guha
Department of Economics & Finance
College of Business
ECON 2113 Business Statistics
Lecture Class
Fall 2011 Syllabus
EXPECTATIONS
The best way to earn a good grade is to regularly review and keep up with the material.
Some students benefit from study-groups since discussions with peers can shed new light
on the material. Others may use tutoring (face-to-face or online) to master the material.
Please do whatever it takes to remain updated. If you still have difficulties, please visit
my office with evidence that you have attempted to work through the material.
Learning some of the material will require MS-Excel. Please brush up your MS-Excel
skills that you learnt in CIT 1503. You may also consider a tutorial like the following:
http://www.baycongroup.com/el0.htm
http://www.youtube.com/watch?v=8L1OVkw2ZQ8
This course will be exclusively taught in the classroom with lectures and interaction.
I will also use ASU’s BLACKBOARD platform for assignments, announcements,
and to post video tutorials and grades.

As a registered ASU Student you will have automatic access to Blackboard.
Please be sure to login to your Blackboard account and check for course related
announcements and assignments every day.

Assignments must be submitted only in the digital dropbox in Blackboard.
Assignments will not be accepted in any other form.

Please print out this syllabus for your reference.
TEXTBOOK
Basic Statistics for Business and Economics, 7th Edition
Douglas A. Lind, Coastal Carolina University
William G Marchal, University of Toledo
Samuel A. Wathen, Coastal Carolina University
Publisher: McGraw Hill (2011)
ISBN-13:
97 8007 7384 470
Web: http://highered.mcgraw-hill.com/sites/0073401781/student_view0/index.html
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Dr. Gauri S Guha
Department of Economics & Finance
College of Business
ECON 2113 Business Statistics
Lecture Class
Fall 2011 Syllabus
EVALUATION
Number
Grading Component
Mid Term Exams
Assignments
TAPPS Quizzes
Final Exam
Total
3
2
10
1
Percentage
points
each
15
10
2
15
Percentage
of the semester
grade
45
20
20
15
100
Letter grades will be assigned (on the final score) as follows:
A> 90%
B> 80%
C> 70%
D> 55%
F< 55%
MIDTERM EXAMS (45%): The 3 midterm exams (15% each) will have 30 multiple
choice questions to be answered in 75 minutes, based on the most recent material covered
since the last exam. Midterm Exams will be given either on paper and pencil or on
Blackboard in a computer lab (if available) on days indicated in the schedule.
[We will decide this issue on the first day of class.]
ASSIGNMENTS (20%) There will be 2 assignments that you will carry out using
Excel: (1) on descriptive statistics and (2) on regression analysis.
TAPPS Quizzes (20%): A total of 10 in-class quizzes will be given through the
semester and will feature small problems on the current material.
FINAL EXAM (15%): The Final Exam will be based on the most recent material, and
will be given on Blackboard as shown in the schedule.
MAKE-UP POLICY: Make-ups will NOT be given for Quizzes. It will be allowed only
if a student misses an Exam due to an emergency or previously informed exigency.
ACADEMIC INTEGRITY: Observing basic honesty in one's work, words, ideas, and
actions is a principle to which all members of the community must subscribe. So, I expect
my students to abide by the honor system and I will not condone free-riders. I will use
maximum penalties available under the ASU academic policies to punish cheating and
plagiarism. In an examination setting, violations of academic integrity shall include any
attempt to receive assistance from any person, or of any attempt to give assistance. Any
reference materials used in the preparation of any assignment must be explicitly cited.
Violations shall also consist of lying to the instructor or purposely misleading any ASU
administrator shall also constitute a violation of academic integrity.
Please refer to the Academic Integrity Policy of ASU available at the following website:
http://studentconduct.astate.edu/AcademicIntegrity.html
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Dr. Gauri S Guha
Department of Economics & Finance
College of Business
ECON 2113 Business Statistics
Lecture Class
Fall 2011 Syllabus
SCHEDULE FOR FALL 2011
Week. Month: Days
23
25
Topics Covered
Data Collection Techniques
Review MS-Excel
Chapters
Descriptive Statistics: Graphical Methods
2
1
Assignments
Review
MS-Excel
1.
Aug:
2.
Aug: 30 – Sep: 01
3.
Sep:
06
08
Descriptive Statistics: Numerical Measures
3
QUIZ 1
QUIZ 2
A1*
4.
Sep:
13
15
Skewness, Contingency Tables
4
QUIZ 3
5.
Sep:
20
22
5
EXAM 1
6.
Sep:
27
29
Covariance, Correlation Coefficient, Z-scores
Experiments, Counting Rules,
Simple Probability
5
QUIZ 4
5
QUIZ 5
6
QUIZ 6
7.
Oct:
04
06
8.
Oct:
11
13
Joint and Conditional Probability,
Rules of Probability
Expected Value (Mean), Variance, Standard
Deviation of Probability Distributions
9.
Oct:
18
20
Discrete Probability Distributions
6
EXAM 2
10.
Oct:
25
27
Continuous Probability: Normal Distribution
7
QUIZ 7
11.
Nov: 01
03
8
QUIZ 8
12.
Nov: 08
10
Sampling Distribution
Interval Estimation – Pop.  & proportions
Determining Sample Size
9
QUIZ 9
17
Hypothesis Testing: Null & Alternate
Hypotheses 1-tail and 2-tail tests
10
EXAM 3
Fall Break / Thanksgiving Holiday
*****
Regression Analysis
13, 14
*****
QUIZ 10
A2*
FINAL EXAM
Monday Dec 12; 08:00am – 10:00am
10, 13, 14
FINAL
13.
Nov: 15
Nov: 21 – 27
14.
Nov: 29 – Dec: 01
FINALS WEEK
December 07 –13, 2011
A1*
A2*
Assignment 1 is due: Friday, September 09, by 5pm in the digital dropbox.
Assignment 2 is due: Friday, December 02, by 5pm in the digital dropbox.
NOTE: (1) Please remember to click the SEND FILE button in the digital dropbox.
(2) Late assignments will be penalized by 1 grade per day delayed.
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