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UNIVERSIDAD DE ESPECIALIDADES ESPIRITU SANTO
INTERNATIONAL COLLEGE
INTERNATIONAL CAREERS PROGRAM
SYLLABUS
CLASS: Statistics I
PREREQUISITES:
PROFESSOR: Carlos Valdivieso
BIMESTER: Spring II, 2005
CREDITS: 3
CODE:
SCHEDULE: M -Th
CLASSROOM: C4
HOURS OF HOMEWORK: 96
1. COURSE DESCRIPTION
Statistics I is the first of two introductory courses in Statistics. This course will provide
students with an introductory survey of the many applications of Descriptive Statistics,
presenting the basis for Inferential Statistics that will be covered in Statistics II. The
Applications of the statistical tools learned along with this course are very important in
the development strategies in today business environment. This course will demand
basic Excel knowledge from the participants.
2. GENERAL 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.
3. CLASS SCHEDULE AND WORKLOAD BREAKDOWN
Sept. 25
Syllabus presentation.
Read Main Text
Oral Evaluation
Session 1
Course Politics
Pages: 1 - 14
Class Discussion
Introduction to Statistics
Types of Statistics
Types of Variables
Levels of measurements
Session 2
Statistic Graphics and
Read Main Text
Oral Evaluation
Ethics
Pages: 14 – 22
Class Discussion
Introduction to the use of
Homework #1
Statistical Software
Session 3
Frequency Distributions and Read Main Text
Oral Evaluation
Graphics Presentations
Pages: 23 – 31
Class Discussion
1
Session 4
Session 5
Session 6
Session 7
Session 8
Session 9
Session 10
Constructing a Frequency
Distribution
Relative Frequency
Distribution
Graphic Presentation
Histogram
Frequency Polygon
Line Graphs
Bar Charts
Pie Charts
Numerical Measures
The Population Mean
Sample Mean
Properties of the Arithmetic
Mean
The weighted Mean
The Median
The Mode
The Relative Position of the
Mean Median and Mode
The Geometric Mean
Why Study Dispersion?
Measures of Dispersion:
Mean Deviation
Variance and Standard
Deviation
Population Variance
Population Standard
Deviation
Sample Variance
Standard Deviation
Interpretation and Uses of
the Standard Deviation
Chebyshev’s Theorem
Empirical Rule
The Mean and Standard
Deviation of Grouped Data
The Arithmetic Mean of
Grouped Data
Standard Deviation of
Grouped Data
Lesson1 (Project)
Displaying and Exploring
Data
Introduction
Dot Plots
Stem and Leaf Displays
Other Measures of
Dispersion
Quartiles, Deciles and
Homework Review
Read Main Text
Pages: 31 – 54
Homework #2
Oral Evaluation
Class Discussion
Read Main Text
Pages: 55 - 66
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 66 - 74
Oral Evaluation
Class Discussion
Read Main Text
Pages: 74 - 79
Oral Evaluation
Class Discussion
Read Main Text
Pages: 79 – 95
Homework #3
Oral Evaluation
Class Discussion
Read Main Text
Pages: 96 – 104
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 104 – 138
Homework #4
Oral Evaluation
Class Discussion
2
Session 11
Session 12
Session 13
Session 14
Session 15
Session 16
Percentiles
Relative Dispersion
Skewness
Pearson’s Coefficient of
Skewness
Describing the Relationship
between two Variables
A Survey of Probability
Concepts
Introduction
What is Probability
Approaches to assigning
Probabilities
Subjective Probability
Some Rules for Computing
Probabilities
Rules of Addition
Rules of Multiplication
Contingency Tables
Tree Diagrams
Bayes’ Theorem
Principles of Counting
The Multiplication Formula
The Permutation Formula
The Combination Formula
Course Review
Midterm Exam
Discrete Probability
Distributions
Introduction
What is probability
Distribution
Random Variables
Discrete Random Variables
Continuous Random
Variable
The Mean Variance and
Standard Deviation of a
Probability Distribution
Mean of a Probability
Distribution
Variance of a Probability
Distribution
Binomial Probability
Distribution
Mean of a Binomial
Distribution
Variance of a Binomial
Distribution
Binomial Probability Tables
Read Main Text
Pages: 139 – 155
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 155 – 179
Homework #5
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 180 – 185
Oral Evaluation
Class Discussion
Read Main Text
Pages: 185 – 211
Homework #6
Oral Evaluation
Class Discussion
3
Session 17
Session 18
Session 19
Session 20
Session 21
Cumulative Binomial
Probability Distribution
Hypergeometric Probability
Distribution
Continuous Probability
Distributions
Introduction
The Family of uniform
distribution
Mean of the uniform
Distribution
Standard Deviation of the
Uniform Distribution
The Family of Normal
Probability distributions
The Standard Normal
Distribution
Z Value
Standard Normal Value
Applications of the
Standard Normal
Distributions
The Empirical Rule
Finding Areas under the
Normal Curve
The Normal Approximation
of the Binomial
Continuity Correction
Factor
How to Apply the
Correction Factor
Sampling Methods an the
Central Limit theorem
Reasons to Sample
Simple Random Sampling
Systematic Random
Sampling
Stratified Random
Sampling
Cluster Sampling
Sampling Error
Sampling Distribution of
the Sample Mean
The Central Limit Theorem
Using the Sample
Distribution of the Sample
Mean
Estimation and Confidence
Intervals
Introduction
Read Main Text
Pages: 212 – 221
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 221 – 249
Homework #7
Oral Evaluation
Class Discussion
Read Main Text
Pages: 250 – 255
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 255 – 281
Homework #8
Oral Evaluation
Class Discussion
Read Main Text
Pages: 282 – 297
Oral Evaluation
Class Discussion
Homework Review
4
Session 22
Session 23
Session 24
Session 25
Session 26
Point Estimate and
Confidence Interval
Unknown population
Standard Deviation and a
Small Sample
Lesson 2 (Project)
A Confidence Interval for a
Proportion
Finite Population
Correction Factor
Choosing and Appropriate
Sample Size
Lesson 2 (Project)
One Sample Test of
Hypothesis
Introduction
What is Hypothesis?
What is Hypothesis Testing
Five Step Procedure for
Testing a Hypothesis
Null Hypothesis
Alternate Hypothesis
Level of Significance
Type I Error
Type II Error
Test Statistics
Formulate the decision Rule
Critical rule
Make a Decision
One tailed and two Tailed
Tests of Significance
Testing for a Population
Mean with a Known
Population Standard
Deviation
P-Value in Hypothesis
Testing
Testing for a Population
Mean: Large Sample,
Population Standard
Deviation Unknown
Session 27
Test Concerning
Proportions
Testing for a Population
Mean. Small Sample,
Population Standard
Deviation Unknown
Session 28
Course Review
Read Main Text
Pages: 297 – 315
Homework #9
Oral Evaluation
Class Discussion
Read Main Text
Pages: 316 – 320
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 320 – 322
Oral Evaluation
Class Discussion
Read Main Text
Pages: 322 – 328
Homework #10
Oral Evaluation
Class Discussion
Read Main Text
Pages: 328 – 331
Oral Evaluation
Class Discussion
Homework Review
Read Main Text
Pages: 331 – 354
Homework #11
Oral Evaluation
Class Discussion
Homework Review
5
Session 29
Session 30
Final Exam
Final Review
4. EVALUATION
MIDTERM AND FINAL EXAM
Homework
20%
Oral Evaluations
20%
Class Participation 10%
Midterm Exam
50%
5. CLASSROOM POLICIES
Students will not be allowed after five minutes of the beginning of the class.
On time homework will be graded over a 100% of the grade, one day late homework
over 50%, after two days homework will receive no grade.
In case of absence, homework will be due the day the student returns to class.
BIBLIOGRAFIA:
Main Text: Statistical Techniques in Business and Economics. McGraw Hill 2005
By:
Douglas A. Lind
William G. Marshall
Samuel A. Wathem
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
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
PROFESOR:
NOMBRE:
TITULOS:
Carlos Valdivieso
Bachelor in Electrical Engineering
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Master in Electrical Engineering
Licenciado en Diplomacia
Doctor en Ciencias Internacionales
UNIVERSIDADES: University of Southern California. Los Angeles
Universidad de Guayaquil
EMAIL:
[email protected]
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