COURSE DESCRIPTION

STATISTICS I 1

Statistics I

Department of Statistics “Formación básica”ECTS: 6 Year: 1 Quarter: 2 Course coordinators: Elisenda Molina and José Niño Mora

The course objective is to provide students with knowledge and understanding of the basic concepts of Descriptive Statistics, Probability Calculus and Statistical Inference.

Course chronogram:http://www3.uc3m.es/reina/CRONOGRAMAS/Idioma_2/2017/204.13154.pdf

14 theory-practical classes with supporting material available online

14 practical classes: problem solving and computer labs.

http://www.est.uc3m.es/esp/nueva_docencia/comp_col_get/lade/estadistica_I/

COURSE SYLLABUS

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Contents:

1. Introduction and basic concepts

2. Univariate data analysis

3. Bivariate data analysis

4. Probability

5. Probabilistic models

6. Introduction to statistical inference

Evaluation system

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60% of the final grade will be obtained through a final exam to evaluate the acquired knowledge. The remaining 40% will be obtained through continuous evaluation of the capacity of students to apply the acquired knowledge and skills to solve problems.

60%

40%

Finalgrade

Final exam

2 Midtermexams

15%+15%

2 Hand-in

exercises incomputer labs

10%

+

Evaluation system: Final exam

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ü Problem solving and interpretation exercises (can contain Excel output with charts, descriptive measures and/or intermediate calculations)

ü Theoretical questions

Structure of the final examFinalexam

60%

A score of at least 4 is required (0-10 scale).

The final exam will be individual.

Evaluation system: Midterm exams

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Midterm exams will be individual.

15%+15%2

midtermexams

First midterm exam à Topics 1, 2 and 3

Second midterm exam à Topics 4 and 5

ü Midterm exams will be similar to the final exam, but with less contents and duration.

ü Problem solving and interpretation exercises, with some theoretical questions and others related to Excel use and computer labs.

Structure of midterm exams

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Bibliography (Library section 519.2)

Peña y Romo (1997)

Newbold (2007)

Peña (2005)

STATISTICS FOR BUSINESS AND ECONOMICSPaul Newbold , William L. Carlson & Betty M. Thorne2007, 10, 1208 ed. Prentice HallText available online:https://www-dawsonera-com.biblioteca5.uc3m.es/abstract/9780273767084

INTRODUCCIÓN A LA ESTADÍSTICA PARA LAS CIENCIAS SOCIALESDaniel PeñaJuan Romo1997McGraw-Hill

S 519.2 NEW

S 519.22 PEÑ

DK 00014

Este libro presenta las ideas fundamentales de la Estadística con una exigencia mínima de requisitos matemáticos para hacerlas accesibles a quienes necesiten entender y utilizar correctamente los métodos estadísticos. Los conceptos básicos se introducen mediante ejemplos con datos reales tomados de las Ciencias Sociales y se ilustran con aplicaciones a la Economía, a la Administración de Empresas, a la Gestión y Administración Pública, a la Sociología, a la Psicología y a otras Ciencias Sociales.

Este libro está concebido como texto para un primer curso de estadística aplicada. Cubre los conocimientos que los estudiantes deben adquirir para su trabajo profesional y para entender la ciencia moderna y evaluar la información cuantitativa, que desempeña un papel creciente en el mundo actual. El libro se estructura siguiendo las etapas de construcción de un modelo estadístico: análisis exploratorio inicial de los datos disponibles, construcción de un modelo probabilístico y ajuste del modelo a los datos

FUNDAMENTOS DE ESTADÍSTICADaniel PeñaAlianza Editorial2005

A classic text for accuracy and statistical precision. Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

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Other resources: readings, webs and blogs

INE: http://www.ine.es

SEIO: http://www.seio.es

http://www.malaprensa.com/

http://www.un.org/es/databases/index.html

http://stats.oecd.org/

And many more ……… check the course web page

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And many more ……… check ...

http://www.est.uc3m.es/esp/nueva_docencia/comp_col_get/lade/estadistica_I/

Other resources: readings, webs and blogs

…. and propose more!