|Course code: 174303||Subject title: STATISTICS II|
|Credits: 6||Type of subject: Mandatory||Year: 2||Period: 1º S|
|Department: Estadística, Informática y Matemáticas|
|ABASCAL FERNANDEZ, ELENA (Resp) [Mentoring ]||PANIELLO ALASTRUEY, IRENE [Mentoring ]|
Module: Quantitative Methods. Subject matter: Statistics.
At the end of the semester students must be able to:
|Learning outcomes||Contents||Formative activities||Evaluation activities|
|Understand the most usual random variables and probability distributions, their properties and those assumptions that make possible to approximate them to the Normal distribution.||Chapters 1 and 2||Lectures and Practice sessions||In-term tests with and without using computer|
|Understand the differences between population and sample. Understand the main sampling distributions and their applications.||Chapter 3||Lectures and Practice sessions||In-term tests|
|Understand those notions arising in Inferential Statistics. Determine the needed sample size to reach required error objectives. Obtain and interpret a confidence interval. Apply the appropriate test for a given problem. Evaluate the quality of the survey reports published by the media. Interpret outcomes provided by statistical software.||Chapters 4, 5 and 6||Lectures and Practice sessions||In-term tests with and without using computer|
Practice sessions A-2
Individual or teamwork projects or problem-solving A-3
Individual or small group tutorials A-4
Individual work A-5
Lectures will be devoted to introducing the subject basic contents that will be illustrated with practical activities to help students to develop individual-study habits. Lectures and practice sessions will be alternated for all chapters.
Practice sessions will have two different approaches. Either they will consist of in-class problem-solving sessions of some proposed exercises by the professor or the students or they will consist of practice sessions with computers so that students will be required to use some statistical software as a tool to solve problems and practical cases. Lesson notes, as well as any other teaching material, will be available in MiAulario.
|BP2||A-1, A-2, A-3, A-4, A-5, A-6|
|BP3||A-1, A-2, A-3, A-4, A-5, A-6|
|BP4||A-1, A-2, A-3, A-4, A-5, A-6|
|GP01||A-1, A-2, A-3, A-4, A-5, A-6, , A-7|
|GP02||A-1, A-2, A-3, A-4, A-5, A-6|
|GP03||A-1, A-2, A-3, A-4, A-5, A-6|
|GP05||A-1, A-2, A-3, A-4, A-5, A-6|
|GP07||A-1, A-2, A-3, A-4, A-5, A-6, A-7|
|GP14||A-1, A-2, A-3, A-4, A-5, A-6|
|GP17||A-1, A-2, A-3, A-4, A-5, A-6, A-7|
|SP03||A-1, A-2, A-3, A-4, A-5, A-6|
|SP04||A-1, A-2, A-3, A-4, A-5, A-6|
|Learning outcome||Assessment activity||Weight (%)||It allows test resit||Minimum required grade|
|Understand the most usual random variables and probability distributions, their properties, and those assumptions that make it possible to approximate them to the Normal distribution. Understand the differences between population and sample, the main sampling distributions and their applications, and those notions arising in Inferential Statistics. Obtain and interpret a confidence interval. Determine the needed sample size to reach the required error objectives. Apply the appropriate test for a given problem.||In-term tests||30%||Yes||No|
|Interpret the outcomes provided by statistical software.All the previous learning outcomes.||Final exam||70%||Yes||No|
The evaluation method may include activities such as practice sessions, in-term tests made with or without a computer, problem-solving based on computer-obtained outputs, and attendance during office hours.
The final exam will include questions about theoretical and practical topics studied in the course. These questions may consist of problem-solving questions, test-type questions, and/or solving economic problems using statistical tools.
The makeup exam will contain questions about theoretical and practical topics studied in the course. This exam retakes the whole course and therefore its weight is 100%.
The aim of this subject is that students learn:
- to consider an economic problem in statistical terms,
- to solve manually and by means of the statistical program R-Commander,
- to correctly interpret the results,
- to elaborate study reports.
This course is devoted to study:
- The main distributions of probability
- Statistical inference.
CHAPTER 0. Basic notions of Probability.
CHAPTER 1. Discrete random variables and probability distributions
- Discrete random variables
- Probability distributions for discrete random variables: probability and distributions functions.
- Characteristics of discrete random variables: expectancy and variance
- Binary and Binomial distributions
- Poisson Probability distribution
- Other distributions
CHAPTER 2. Continuous random variables and probability distributions
- Continuous random variables
- Probability distributions for continuous random variables: density and distribution functions.
- Characteristics of continuous random variables: expectancy and variance
- Normal distribution
- Normal distribution approximation for Binomial and Poisson distributions
- Other distributions
CHAPTER 3. Introduction to Statistical inference and Sampling
- Statistical inference as a tool of decision making
- Concepts of sampling
- Sampling with replacement and sampling in finite populations
- Main sampling distributions: sample mean and sample proportion
CHAPTER 4. Estimation
- Point estimation
- Desirable properties of an estimator
- Estimation methods
- Confidence interval estimation: confidence level and error margin
- Confidence interval estimation for single population parameters
- Confidence interval estimation for comparing two populations' parameters
- Sample size determination
- Estimation using a statistical software
CHAPTER 5. Hypothesis testing.
- Concepts of hypothesis testing
- Parametric tests for single population parameters
- Parametric tests for comparing two populations' parameters
- Analysis of variance
- Hypothesis testing using statistical software
CHAPTER 6. Nonparametric statistics.
- Introduction to nonparametric methods
- Goodness-of-fit tests
- Independence test
- Tests for comparing two populations
- Nonparametric hypothesis testing using statistical software
Newbold, P, Carlson, W.L. y Thorne, B. (2013). Statistics for Business and Economics. 6th Edition. Editorial Prentice Hall.
Newbold, P, Carlson, W.L. y Thorne, B. (2013). Estadística para Administración y Economía. Editorial Prentice Hall.
Mi Aulario will be the course web page provides also a communication channel between instructor and students. There students will find the necessary material for both theoretical and computer lab sessions, together with data files and any other additional material.
Levin, Rubin, Balderas, Del Valle y Gómez (2004) Estadística para la administración y la economía. Editorial Prentice Hall.
Lind D. A., Marchal W. G. y Wathen S. A. (2008) Estadística Aplicada a los negocios y a la Economía. Editorial McGraw " Hill
Campus de Arrosadía.