27309 -- Statistics I

Curso:

1

Semestre:

2

Créditos:

6.0

Universidad de Zaragoza

Learning outcomes that define this course

1

- Understand and situate the statistical description of a data set within the stages of the statistical study of an economic phenomenon.
- Be able to handle statistical information sources in the Business and Economics areas.
- Define, calculate and deduce the properties of the basic descriptive statistical measures in order to synthesise the location, the dispersion and the shape of the frequency distribution of a univariate data set.
- Analyse the relationship between two statistical variables depending on the type of the variable (qualitative/quantitative).
- Be able to handle index numbers employed in the economy and interpret the results that are obtained.
- Define basic concepts of probability and apply the fundamental theorems to solve simple problems of Probability Calculus.
- Be able to solve discrete decision problems in an environment of uncertainty.
- Implement, using a spreadsheet, the statistical measures and the graphical techniques studied in the course.
- Be able to write statistical reports formulating the conclusions that are derived from the study of a data set.

Introduction

The ‘Statistics I’ course is a basic formation course and is worth 6 ECTS. It belongs to the module of Quantitative Methods for Business, along with the Statistics II, Operations Research and ICTs in Business courses.

The main objective is to supply the student with the basic tools to deal with information and its quantification in Business and Economics, providing a decision support tool in these areas.

First of all, data analysis techniques to describe an economic situation will be studied. These techniques will allow the collecting, tabulating and presenting of the main characteristics of the data. Next, the models that describe the relationship between two variables will be presented. In the last part of the course, some probability concepts will be introduced to explain the behaviour of random situations and an introduction to statistical decision theory will also be presented. The concepts and techniques of this last part of the course will be employed later in other courses of the degree (Statistics II, Econometrics,…).