Statistics 1
Module: Mètodes Quantitatius per a empresaris
Matter: Statistics
Main language of instruction: Catalan
Other languages of instruction: English, Spanish
If the student is enrolled for the English track then classes for that subject will be taught in the same language and also in Spanish.
Head instructor
Dr. David ROCHE - droche@uic.es
Dr. Pablo AGNESE - pagnese@uic.es
Office hours
Lecture days (Mo and Thu) or else by appointment
A course in basic statistics is offered in a wide variety of disciplines, from the social sciences to business to the natural sciences. The same statistical methods are applied across disciplines. Therefore, it should not be surprising that the tools you will learn to use in this course will benefit you in your future studies and career, regardless of whether your career interest is finance, accounting, strategy, management or marketing. In this course you will learn basic statistical measures, descriptive statistical methods, sampling methodology and the main probability distributions.
I believe statistics is best taught through a series of clear and carefully worked examples. A theoretical background to descriptive and inferential statistical methods will be provided, however much of the time will be spent teaching you how to apply the theory to the real world. Statistics is not about memorising formulas: it is about recognising the appropriate statistical test to perform in a given situation. This requires practice by the student. As we cover the topics, if you do not have a clear understanding of one topic it is wise to seek help immediately. The next topic will build upon the previous one. Please allow me to assist you as soon as you find that you have any questions.
Before taking this module, it is highly recommended that students have completed Mathematics 1, Mathematics 2 and Information Systems.
To learn the terminology, notation and different methods of quantitative analysis.
To be able to identify and understand the fundamental concepts of quantitative analysis.
To be able to analyse and synthesise information presented in the classroom and complementary material provided by the lecturer.
To be able to select appropriate statistical or mathematical methods for solving a particular economic problem.
To learn the terminology, notation and different methods of quantitative analysis.
To be able to identify and understand the fundamental concepts of quantitative analysis.
To be able to analyze and synthesize information presented in the classroom and complemetary material provided by the teacher.
To be able to select appropriate statistical or mathematical method to solve a particular economic problem.
Theme 1: Introduction
What is statistics?
Theme 2: Basic Concepts
Descriptive versus inferential statistics
Sample and population
Types of data
Theme 3: Measurements
Measurements of central tendency
Measurements of dispersion
Measurements of shape
Measurements of concentration
Theme 4: Graphs
Bar charts and pie charts
Frequency distribution
Other type of graphs
Misleading graphs
Theme 5: Bivariate Statistics
Covariance and correlation
Introduction to regression
Theme 6: Time Series
Trend and seasonality
Moving average
Theme 7: Index Numbers
Proportion, ratio and variation rate
Index chain and complex index
CPI
Theme 8: Probability
Introduction to probability
Classical probability
Tree diagrams
Baye's theorem
Theme 9: Probability Distribution
Moments about the origin
Central moments
Discrete versus continuous probability distribution
Theme 10: Discrete Probability Distribution
Binomial probability distribution
Hypergeometric probability distribution
Poisson probability distribution
Students’ proficiency in Statistics 1 will be achieved by means of active practice. This means working on problems and understanding and explaining the results. The various textbooks recommended have hundreds of problems students can use to gain additional practice. Answers to most of the problems can be found at the back of the textbooks.
Keller, G. Statistics for Management and Economics. South Western Cengage Learning.
Lind, D.A., Marchal, W.G. & S.A. Wathen. Statistical Techniques in Business and Economics. McGraw-Hill International Edition.
Schiller, John J. & Srinivasan, R. Alu. Schaum's Outline of Probability and Statistics. Ringgold, Inc.
Wonnacott T. & Wonnacott R.J. Introductory Statistics. John Wiley & Sons.
Notice that additional material may be handed over in class or shared through the virtual classroom.