Faculty of Economics and Business
BACHELOR IN ECONOMICS FIRST YEAR Course
Statistics I
Code
802348
Module
Basic Formation
Area
Statistics
Nature
Basic
Credits
Attendance
3
6
Non Attendance
3
Year
1
Semester
2
COORDINATION DEPARTMENT Estadística e Investigación Operativa II
COORDINATOR AND CONTACT Roque Piñole.
[email protected]
SYNOPSIS BRIEF DESCRIPTION Introduction to business and economics statistics. Base knowledge on Probability theory, distribution models and sampling. . Descriptive statistics.
PRE-REQUISITES None
OBJECTIVES The aim of this course is to procure the student knowledge and understanding of basic concepts in Statistics. The course emphasizes problem solving by using realistic examples from the current economic environment. The course covers concepts and methods in descriptive statistics, probability, probability distribution models and sampling distributions.
COMPETENCES General: CG1, CG2, CG3, CG4 Transversal: CT1, CT2, CT3
Faculty of Economics and Business
Specific: CE7, CE8, CE9
LEARNING METHODOLOGY A mixed methodology of teaching and learning will be used in all educational activities with the aim of encouraging students to develop a collaborative and cooperative attitude in the pursuit of knowledge.
TOPICS COVERED (Syllabus) 1. Statistical knowledge: information and uncertainty. 2. Probability Space. 3. One dimension random variables and probability distributions 4. Two dimensions random variables and probability distributions 5. Probability Models 6. Methods to obtain information: sampling 7. Descriptive statistics: Univariate and multivariate data analysis
TEACHING ACTIVITIES DISTRIBUTION Theoretical lessons
% of Total Credits
30%
Lecture and discussions over program subjects. Alumni count on necessary material in the “campus virtual” web site.
Practical lessons
% of Total Credits
10%
% of Total Credits
10%
Exercises setting and resolution.
Other Activities
Includes personalized or group tutorials, and evaluation activities. (50% home activities, personal or group work)
ASSESSMENT Exams
% Share of Final Grade
50%
% Share of Final Grade
30%
Final exam
Other Activities
Intermediate exams and 15-minutes quiz
Other Activities
% Share of Final Grade
Classroom and computer lab participation / exercises presentation
EVALUATION CRITERIA
20%
Faculty of Economics and Business
Ordinary call: students performing other described activities will be considered. Extraordinary call: only students present at the exam will be considered.
TIMETABLE Week
Topic
Seminar
1 Introduction to course Chapter 1: Statistical knowledge: Decision making in an uncertain environment. Information and uncertainty. Chapter 2: Definition of probability. Axioms. Exercises. 2 Chapter 2: Probabilistic space. Conditional probability. Exercises 3 Chapter 2: Random variables. Distribution function. 15 minutes QUIZ. 4 Chapter 3: Probability function. Momentum. Characteristic function. Exercises. 5 Chapter 3: Characteristic function. Random variables function. Exercises. 6 Chapter 4: Two dimension random variables. 15 minutes QUIZ. 7 Chapter 4: Exercises. 60-minutes intermediate exam.
MS Excel for data analysis.
Chapter 4: Two dimension random variables. Exercises.
MS Excel for data analysis.
8
9 Chapter 4-5: Two dimension random variables. Binomial model MS Excel for data analysis. distribution. Exercises. 11 Chapter 5: Poisson distribution model 15 minutes QUIZ.
MS Excel analysis.
for
Chapter 5: Uniform and Exponential distribution models.
MS Excel for data
12
data
Faculty of Economics and Business
Exercises.
analysis.
Chapter 5: Normal distribution model. Exercises.
MS Excel for data analysis.
13
14 Chapter 5: Normal distribution model. Exercises. 15 minutes QUIZ. 15 Chapter 5: Exercises. 80-minutes intermediate exam.
MS Excel for data analysis.
NOTE: This schedule is merely an orientation, due to the following factors: • Holydays affect differently each group. This changes subjects development as well as dates and number of evaluation exercises. • Participative and interactive pedagogy prevents an accurate programing of lecturing content.
RESOURCES BASIC BIBLIOGRAPHY "Statistics for Business and Economics". Paul Newbold, William L. Carlson y Betty Thorne, International Edition, 7/E, 2009, Pearson Higher Education "Statistics”. James T. Mc Clave, Terry Sincich y William Mendenhall. International Edition", 11/E, 2008, Pearson Higher Education. "Statistics for Business & Economics". James T. Mc Clave, P. George Benson y Terry Sincich, International Edition, 10/E, 2008, Addison-Wesley.
COMPLEMENTARY BIBLIOGRAPHY "Statistics for Managers Using Excel". David M. Levine, International Edition, 5/E, Pearson Higher Education.
OTHER RESOURCES The following information will be available for students at “Campus Virtual”: Slides of the lectures Selected exercises Data sets for practical classes Simulators to understand key statistical concepts
