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Statistics Consultancy

Code: 104877 ECTS Credits: 6
2024/2025
Degree Type Year
2503852 Applied Statistics OT 4

Contact

Name:
Llorenç Badiella Busquets
Email:
llorenc.badiella@uab.cat

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

Descriptive Statistics
										
											
										
											Programming tools with Statistical software and data management
										
											
										
											Linear Models
										
											
										
											Analysis of Categorical Data
										
											
										
											Multivariate analysis

Objectives and Contextualisation

Develop skills necessary to carry out professional consultancy tasks in statistics. 
Covering the different fields of statistical consultancy: 
- Health Sciences,
- Banking and insurance
- Sociological studies and surveys

Learning Outcomes

  1. CM14 (Competence) Propose the statistical model needed to analyse data sets belonging to real studies.
  2. KM17 (Knowledge) Recognise the statistical models for the analysis of data with different structures and complexities that frequently appear in different fields of application.
  3. KM18 (Knowledge) Recognise the language of applications of economics and finances, biomedical science and engineering, provided by research and innovation in the field of statistics.
  4. KM18 (Knowledge) Recognise the language of applications of economics and finances, biomedical science and engineering, provided by research and innovation in the field of statistics.
  5. SM16 (Skill) Select appropriate sources of information for the statistical work.
  6. SM18 (Skill) Refine the information available for subsequent statistical processing.

Content

Introduction
										
											
										
											    Objective of the Statistical Consulting
										
											    Areas of Consultancy and Needs
										
											    Functions and responsibilities of the Statistical Consultant
										
											    Work meetings
										
											    Objectives according to scope
										
											    Budget
										
											
										
											Statistical Report
										
											
										
											    Summary
										
											    Graphics
										
											    Analysis, Methodology, Validation
										
											    Presentation of results
										
											
										
											Productive programming with SAS and / or R
										
											
										
											    Syntax files structure
										
											    Implementation of Statistical Techniques
										
											    Functions to reproduce code
										
											    Production of results
										
											
										
											Practical cases
										
											
										
											    Reports
										
											    Presentation and Review
 

Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Practical cases 15 0.6
Practical classes 30 1.2
Theory 30 1.2 

The subject will follow the following methodology:
										
											
										
											    Theoretical classes
										
											    Practical software sessions
										
											    Evaluation of practical cases

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Oral Presentation 70 75 3 CM14, KM17, KM18, SM16, SM18
Practices 30 0 0 CM14, KM17 

The subject will be evaluated by solving one or more practical cases.
										
											
										
											Statistical advice must be carried out, delivering the following documentation.
										
											
										
											Initial proposal
										
											
										
											Preliminary report
										
											
										
											Results Report
										
											
										
											Presentation Summary of Results
										
											
										
											Finally, it will be open to present the results of the case in public.
										
											
										
											Intermediate deliveries correspond to the Practices activity.
										
											
										
											Public presentation corresponds to the Presentation activity.

This course does not admit "Avaluació única".

Bibliography

Cabrera, J.; McDougall A. (2002). Springer-Verlag New York.Statistical Consulting

Statistical Rules of Thumb - Gerald Van Belle - Wiley Series in Probability and Statistics

Common Errors in Statistics (and How to Avoid Them) - Good, Hardin - Wiley

SAS and R: Data Management, Statistical Analysis, and Graphics - Kleinman , Horton - Chapman and Hall

SAS for Mixed Models, Second Edition - Little et al - SAS Publishing


Software

SAS


Language list

Name Group Language Semester Turn
(SEM) Seminars 1 Catalan first semester afternoon
(TE) Theory 1 Catalan first semester afternoon