Universitat Internacional de Catalunya - Barcelona

Statistics 2

• code 08271
• course 2
• term Semester 2
• type OB
• credits 3

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

By appointment

A course in 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 careers regardless of whether your career interest is finance, accounting, strategy, management or marketing. In this course you will learn three important statistical procedures: (i) estimation, (ii) hypothesis testing and (iii) time series and forecasting

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 a great deal of time will be spent teaching you how to apply the theory to the real world. Statistics is not about memorising formulas, rather it is about recognising the appropriate statistical test to conduct in a given situation. This requires practice by students. 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 contact me for help if you have any questions.

It is recommended that students have taken and understood the courses Statistics 1, Mathematics 1 and Mathematics 2”.

-   To develop a basic understanding of the different probability distributions

-   To learn the basics on how to conduct experiments and test hypotheses

-   To apply statistical terminology correctly

• 28 - To be able to work in another language and use terminology and structures related to the economic-business world.
• 31 - To develop the ability to identify and interpret numerical data.
• 35 - To analyse time series.
• 36 - To interpret quantitative and qualitative data and apply mathematical and statistical tools to business processes.
• 67 - To be able to express oneself in other languages.
• 64 - To be able to plan and organise one's work.
• 19 - To analyse quantitative financial variables and take them into account when making decisions.
• 32 - To acquire problem solving skills based on quantitative and qualitative information.
• 40 - To be able to choose statistical methods appropriate to the object of analysis.
• 42 - To be able to empirically analyse financial phenomena.
• 43 - To acquire skills for using statistical software.
• 50 - To acquire the ability to relate concepts, analyse and synthesise.
• 51 - To develop decision making skills.
• 52 - To develop interpersonal skills and the ability to work as part of a team.
• 53 - To acquire the skills necessary to learn autonomously.
• 54 - To be able to express one’s ideas and formulate arguments in a logical and coherent way, both verbally and in writing.
• 56 - To be able to create arguments which are conducive to critical and self-critical thinking.
• 65 - To acquire the ability to put knowledge into practice.
• 66 - To be able to retrieve and manage information.

Understand quantitative research terminology, notation and methods, specifically those related to inference.

Ability to analyse and summarise information from lectures and materials provided by the lecturer.

Choose the appropriate statistical method to solve any economic problem.

Theoretical explanations will be given in the classroom using photocopied material and lists of problems. The lecturer's explanations will be shown on the blackboard and supplemented by the above material.

Theory will be combined with solving related problems.

ONLY FOR STUDENTS OF THE ENGLISH GROUP - PROF. PABLO AGNESE

The marking will be divided between the mid-course and final examinations. The weighting between the different activities will be as follows:

10% in-class activity

30% mid-course examination

60% final examination

 If any student does not pass the examination at the first attempt and  is required to resit in July, the mark will be 100% based on the second-sitting examination

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.

Prat, A., Tort-Martorell, X., Grima, P., & L. Pozueta. “Métodos Estadísticos: Control y Mejora de la Calidad”. Edicions UPC.

Wonnacott T. & Wonnacott R.J. “Introductory Statistics”. John Wiley & Sons.

E: exam date | R: revision date | 1: first session | 2: second session:

• E1 28/05/2019 12:00h b502
• E2 21/06/2019 10:00h b501