Checking date: 17/05/2019


Course: 2019/2020

Statistical Methods
(12285)
Study: Master in Business Administration (MBA) (301)
EPE


Coordinating teacher: MUÑOZ GARCIA, ALBERTO

Department assigned to the subject: Department of Business Administration

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Students are expected to have completed
Statistical notions are convenient.
Competences and skills that will be acquired and learning results.
1. STATISTICS KNOWLEDGE AND SKILLS 1.1. Students should gain a thorough understanding of the problems relevant to the different functional areas. 1.2. Students should be able to diagnose potentially complex real-world statistical problems. 1.3. Students should be able to relate theory and practice. 2. ORGANIZATION TEAM AND PERSONAL SKILLS 2.1. Students should be able to explain their diagnosis and the solutions they propose in a clear and convincing way. 2.2. Students should be able to work effectively in teams and to demonstrate their capacity in managing diversity. 2.3. Students should be able to demonstrate their capacity to lead others and their own professional life.
Description of contents: programme
Class 1: Introduction and Descriptive Statistics Readings: Chapter 1 and Chapter 2: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Summarizing quantitative data. Cities data set, women data set, work with women labor force. Class 2: Random Variables and Probability. Readings: Chapters 3,4 and 5: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Probability exercises. Random variable exercises. Class 3: Multivariate Descriptive Statistics. Readings: Chapter 4. Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Exercises with multivariate data sets and tables. Class 4: Correlation and linear regression. Readings: Chapter 12: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Linear regression exercises with economic and business data. Class 5: Multiple Linear Regression. Readings: Chapter 13: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Multiple linear regression exercises with economic and business data. Class 6: Sampling and sampling distributions. Readings: Chapter 6: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Sampling distribution problems. Central limit theorem simulations. Class 7: Point Estimation and Interval Estimation I. Readings: Chapters 7 and 8: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Exercises in statistical inference. Class 8: Interval Estimation II. Readings: Chapter 8: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Inference and confidence interval problems. Class 9: Hypothesis testing I. Readings: Chapter 9: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Hypothesis testing exercises (I). Class 10: Hypothesis testing II. Readings: Chapter 9: Statistics for Business and Economics. Paul Newbold. Cases/Exercises: Hypothesis testing exercises (II).
Learning activities and methodology
ACTIVIDADES FORMATIVAS Theory (15 hours) Practices (15 hours) Office Hours (10 horas) Group Work and Individual Work
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Groebner, Shannon, Fry, Smith. Business Statistics. A decision making approach. Prentice Hall. 2011
  • Paul Newbold. Statistics for Business and Economics. Prentice Hall. 2010

The course syllabus and the academic weekly planning may change due academic events or other reasons.