## Syllabus 2019-20 - 11111002 - Statistics 1 (Estadística I)

Caption
• Level 1: Tutorial support sessions, materials and exams in this language
• Level 2: Tutorial support sessions, materials, exams and seminars in this language
• Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
 DEGREE: Grado en Administración y dirección de empresas (11111002) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES DEGREE: Doble Grado en Administración y dirección de empresas y Finanzas y contabil (11911002) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES DEGREE: Grado en Administración y dirección de empresas (11121002) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES DEGREE: Grado en Finanzas y contabilidad (11311002) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES ACADEMIC YEAR: 2019-20 COURSE: Statistics 1
SYLLABUS
1. COURSE BASIC INFORMATION
 NAME: Statistics 1 CODE: 11111002 (*) ACADEMIC YEAR: 2019-20 LANGUAGE: English LEVEL: 3 ECTS CREDITS: 6.0 YEAR: 1 SEMESTER: SC
2. LECTURER BASIC INFORMATION
 NAME: FERNÁNDEZ ALCALÁ, ROSA MARÍA DEPARTMENT: U112 - ESTADISTICA E INVESTIGACIÓN OPERATIVA FIELD OF STUDY: 265 - ESTADÍSTICA E INVESTIGACIÓN OPERATIVA OFFICE NO.: B3 - 059 E-MAIL: rmfernan@ujaen.es P: 953212449 WEBSITE: http://www4.ujaen.es/~rmfernan/ ORCID: https://orcid.org/0000-0002-3329-6624 LANGUAGE: - LEVEL: 3
3. CONTENT DESCRIPTION

Content Description:

1. Introduction to Descriptive Statistics.

1.1. Basic concepts in descriptive statistics.

1.2. One-dimensional statistical variables.

1.2.1. Frequency tables and graphical representations.

1.2.2. Measures of position, variability and shape.

1.2.3. Measures of equidistribution.

1.3. Introduction to two-dimensional descriptive statistics.

2. Descriptive analysis of a time series.

2.1. Introduction.

2.2. Time series components.

2.3.  Determination of the trend.

2.4. Determination of seasonal variations.

2.5.  Deseasonalisation of data

3. Index numbers.

3.1. Simple indexes.

3.2. Composite indexes.

3.3. Prices, quantities and value indexes.

3.4. Shifting and splicing of indexes.

3.5. Deflation.

4. Introduction to Probability Theory.

4.1. Definition of probability.

4.2. Conditional probability.

4.3. Independent events.

4.4. Basic theorems in Probability Theory.

5. Random variable.

5.1. Discrete random variables. Probability mass function.

5.2. Continuous random variables. Probability density function.

5.3. Random vectors. Characteristics.

6. Probability distributions models.

6.1. Discrete probability distribution models.

6.2. Continuous probability distribution models.

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

Course Description and Teaching Methodology

Teaching sessions are structure in theoretical and practical sessions.

In the theoretical sessions, the masterclass will be used to introduce the essential concepts with the support of different materials edited for that purpose (notes, sides and practical examples obtained from the manuals indicated in the Booklist section) that will be accessible through the ILIAS teaching-learning platform.

During the practical sessions, proposed exercises related to the theoretical contents will be solved writing upon the board and/or using a statistical software (Statgraphics, SPSS and/or R). The list of proposed exercises should be solve by the students and exposed in class to the rest of the students for further study.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

Assessment methodology

The evaluation procedure is mainly based on:

1.   A written exam with practical exercises related to the contents of the course. It could include short questions or select-options questions to assess the comprehension level on basic concepts (80%).
2.   A test to assess the acquired ability with the statistical software and the capability of the student to select the appropriated method and provide accurate conclusions (20%). The qualification obtained in this part in the 2 nd ordinary call, may be saved for extraordinary calls. If someone decides to repeat this exam in the extraordinary calls, the mark obtained in it will be final mark in this part.

6. BOOKLIST
MAIN BOOKLIST:
• Statistics for business and economics. Edition: [8th ed.], Global Edition. Author: Newbold, Paul. Publisher: Boston [etc.] : Pearson , cop. 2013  (Library)
• Introductory statistics. Edition: 3rd ed.. Author: Ross, Sheldon M.. Publisher: Amsterdam [etc.] : Elseviercop. , 2010  (Library)
• Statistical Techniques in Business and Economics. Edition: 15th ed.. Author: Douglas A. Lind, William G. Marchal, Samuel A. Wathen. Publisher: International ed. New York: McGraw-Hill/Irwin  (Library)
• Complete Business Statistics. Edition: 7th edition. Author: ACZEL, AD. SOUNDERPANDIAN, J. Publisher: McGraww-Hill. Irwin  (Library)
• Business statistics : a decision-Making Approach . Edition: -. Author: Groebner, David F. Publisher: Harlow, England [etc.] : Pearson, 2018  (Library)
ADDITIONAL BOOKLIST:
• Applied business statistics : methods and excel-based applications : solutions manual . Edition: -. Author: Wegner, Trevor. Publisher: Cape Town : Juta, 2008  (Library)
• Statgraphics Centurion XV: user manual. Edition: -. Author: -. Publisher: Herndon (Virginia) : Statpoint, 2005  (Library)
• Statistical Techniques in Business and Economics with Student CD. Edition: -. Author: Douglas Lind William Marchal, Samuel Wathen. Publisher: McGraw-Hill, Irwin  (Library)
• Statistics for Business and Economics: Student Solutions Manual. Edition: -. Author: Douglas Lind William Marchal, Samuel Wathen  (Library)
• Statistics for Managers Using Excel and Student CD Package. . Edition: -. Author: David M. Levine, Mark L. Berenson, David F. Stephan, Timothy C. Krehbiel. Publisher: Prentice Hall  (Library)
• Business Statistics.. Edition: 3rd edition. Author: Norean D. Sharpe, Richard D. De Veaux, Paul F. Velleman. Publisher: Pearson  (Library)