UNIVERSIDAD DE ESPECIALIDADES ESPÍRITU SANTO
FACULTAD DE ESTUDIOS INTERNACIONALES
INTERNATIONAL CAREERS PROGRAM
SYLLABUS
COURSE: Statistics II
SCHEDULE: 19:75-20:45
FACULTY: ICP
BIMESTER: Fall II
ACADEMIC UNITS/CRÉDITS: 3 UEES
(S.N.C.C. 4.8 )
DAYS: M-Th
PRE REQUISITES: Statistics I
ROOM: F-13
CONTACT HOURS: 40
NON-CONTACT HOURS: 96
1. COURSE DESCRIPTION
Statistics II is the second of two introductory courses in Statistics. The Applications of statistical tools
learned along with this course are very important in the development of both short term strategies and
strategic planning in today business environment. This course will demand basic Excel knowledge from
the participants.
Students will develop the capacity to understand and construct economic models based on the
understanding of the behavior of a set of variables affecting the variable of interest. Students are going to
gain ability in the management of hypothesis testing as a tool for organizing the decision making process.
Simple regression and correlation analysis are going to be used by students to forecast real business and
economic trends.
2. OBJECTIVES
a. GENERAL
Students will develop a level of statistical literacy that enables them to critically assess
information encountered in the media and other sources.


b. SPECIFIC
Utilize the computer as a tool for promoting conceptual understanding.
Analyze and interpret quantitative information, to use statistical thinking, and to
communicate using the language of statistics.
3. COURSE CONTENT OUTLINE
DATES &
SESSIONS
30-10-06
Session 1
31-10-06
Session 2
SPECIFIC
COMPETENCIES
NON CONTACT
HOURS
Discuss Descriptive Syllabus presentation. Read Main Text
Statistics Review
Course Politics
Pages: 41-45 Read
Introduction to the use Main Text
of Statistical Software
Page: 53
Review of Statistical
Concepts Using Excel
and
Mega
Stat
Software
Discrete Probability Read Main Text
Distributions
Pages: 180-211
Agosto 2006
CONTENTS
ASSESSMENT
Oral Evaluation
Class Discussion
Oral Evaluation
Class Discussion
01-11-06
Continuous
Probability
Distributions
Sampling Methods
and the Central Limit
Theorem
Session 3
02-11-06
Session 4
06-11-06
Session 5
07-11-06
Session 6
Solve exercises using
Hypothesis testing
08-11-06
Session 9
14-11-06
Session 10
15-11-06
Session 11
16-11-06
Session 12
20-11-06
Read Main Text
Pages: 250-281
Hwk #1
Oral Evaluation
Class Discussion
Grading Hwk
Oral Evaluation
Class Discussion
One Sample Test of Read Main Text
Hypothesis
Pages: 316-318
Oral Evaluation
Class Discussion
Five Steps Procedure
Read Main Text
Pages: 318-323
Oral Evaluation
Class Discussion
One-Tailed
Read Main Text
Pages: 323-324
Hwk #2
Oral Evaluation
Class Discussion
Grading Hwk
Session 8
13-11-06
Oral Evaluation
Class Discussion
Estimations
and Read Main Text
Confidence Intervals
Pages: 282-315
Session 7
09-11-06
Read Main Text
Pages: 212-249
Two-Tailed Test of Read Main Text
Significance
Pages: 323-324
Oral Evaluation
Class Discussion
Testing for a
Read Main Text
Population Mean
Pages: 324-329
Large
Sample,
Known
Population
Standard Deviation
Tests
Concerning Read Main Text
Proportions
Pages: 329-335
Oral Evaluation
Class Discussion
Testing for a
Read Main Text
Population Mean
Pages: 335-354
Small
Sample,
Population Standard
Deviation Unknown
Oral Evaluation
Class Discussion
Oral Evaluation
Class Discussion
Course Review
Session 13
21-11-06
Midterm Exam
Session 14
Exam Solution
Grades
22-11-06
Session 15
23-11-06
Solve exercises
Session 16
Agosto 2006
and
Comparing Population Read Main Text
Mean with Small
Pages: 366-385
Samples
Two-Sample Test of
Hypothesis:
Oral Evaluation
Class Discussion
27-11-06
Session 17
28-11-06
Session 18
29-11-06
Session 19
30-11-06
Session 20
04-12-06
Session 21
05-12-06
Session 22
06-12-06
Session 23
07-12-06
Session 24
11-12-06
Session 25
12-12-06
Session 26
13-12-06
Session 27
14-12-06
Session 28
18-12-06
Session 29
19-12-06
Dependent Samples
Analysis of Variance:
The F Distribution
Comparing Two
Population Variances
ANOVA
Inferences about Pairs
of Treatment Means
Read Main Text
Pages: 386-402
Oral Evaluation
Class Discussion
Read Main Text
Pages: 402-406
Oral Evaluation
Class Discussion
Two-Way Analysis of Read Main Text
Variances
Pages: 406-427
Hwk #2
Correlation Analysis Read Main Text
The Coefficient of
Pages: 428-435
Correlation
Hwk #3
The Coefficient of
Read Main Text
Determination
Pages: 435-450
Regression Analysis
Oral Evaluation
Class Discussion
Confidence Intervals
and Predictions
Multiple Regressions
and Correlation
Analysis
Inferences in Multiple
Regression Analysis
Evaluating the
Regression Equation
Analysis of Residuals
Nonparametric
Methods: Chi Square
Applications
Goodness of Fit Test:
Unequal Expected
Frequencies
Limitation of Chi
Square
Contingency table
Analysis
Statistical Quality
Control
Quality Control Charts
Index numbers
Special Purpose
Indexes
Course Review
Read Main Text
Pages: 450-473
Read Main Text
Pages: 474-485
Oral Evaluation
Class Discussion
Oral Evaluation
Class Discussion
Read Main Text
Pages: 485-521
Hwk #4
Read Main Text
Pages: 522-523
Oral Evaluation
Class Discussion
Read Main Text
Pages: 523-531
Oral Evaluation
Class Discussion
Read Main Text
Pages: 531-545
Oral Evaluation
Class Discussion
Read Main Text
Pages: 586-617
Oral Evaluation
Class Discussion
Read Main Text
Pages: 618-649
Oral Evaluation
Class Discussion
Session 30
20-12-06
Final Exam
Session 31
21-12-06
Agosto 2006
Exam
Solution
and
Oral Evaluation
Class Discussion
Grading Hwk
Oral Evaluation
Class Discussion
Grading Hwk
Oral Evaluation
Class Discussion
Session 32
Grades
4. METHODOLOGY
Students are responsible for reading every day about the class lecture following the
guidelines given in the next section of this syllabus. This preparation is very important
to answer questions asked during the class and that will be part of the evaluation.
Homework will be turn in at the beginning of the class, and the student should be
prepared to answer any related questions.
This course will be taught with the aid of power point presentations using an in focus.
Excel will be loaded with an additional menu that will allow the use of Mega Stat, a
powerful statistical Software.
4. ASSESSMENT
On time homework will be graded over a 100% of the grade, one day late homework
over 80%, after two days homework will not be received.
In case of absence, homework will be due the day the student returns to class.
MIDTERM AND FINAL EXAM
Homework
20%
Oral Evaluations
20%
Class Participation 10%
Midterm Exam
50%
6. BIBLIOGRAPHY
6.1 REQUIRED
Main Text: Statistical Techniques in Business and Economics. McGraw Hill 2005
By:
Douglas A. Lind
William G. Marshall
Samuel A. Wathem
6.2 COMPLEMENTARY
Basic Business Statistics
Mark Berenson
Prentice Hall
Introduction to Modern Business Statistics
W. J. Conover and Ronal L Iman
Wiley
Essentials of Business Statistics
David F. Groebner and Patrick Shannon
Merril
Agosto 2006
Business Statistics
Lawrence L. Lapin
HBJ
Statistics for Business and Economics
Debra Olson Oltman and James R. Lackritz
Business Statistics
Richard A. Johnson and Dean W. Wichern
Wiley
6.3 HANDOUTS:
Formula table
7. FACULTY INFORMATION
NAME: Carlos Valdivieso
.
ACADEMIC CREDENTIALS--UNDERGRAD:
Bachelor in Electrical Engineering
University of Southern California, Los Angeles
GRADUATE:
Master in Electrical Engineering
University of Southern California, Los Angeles
Doctor in Diplomacy and International Sciences
Universidad de Guayaquil
E – mail: cvaldiv@fiec.espol.edu.ec
Agosto 2006