|Course code: 502203||Subject title: STATISTICS|
|Credits: 6||Type of subject: Basic||Year: 1||Period: 2º S|
|Department: Estadística, Informática y Matemáticas|
|UGARTE MARTINEZ, M. DOLORES (Resp)||GOICOA MANGADO, TOMÁS|
Descriptive statistics, probability, statistical inference
CB1: Students have demonstrated that they possess knowledge of and understand an area of study, based on general secondary education and usually at a level which, albeit with the support of advanced text books, also includes some aspects which imply knowledge of the latest developments in their field of study.
CB2: Students know how to apply their knowledge to their work or vocation in a professional manner and possess skills which are usually demonstrated by developing and defending arguments and resolving problems in their area of study.
CB3: Students are able to compile and interpret relevant information (normally within their area of study) in order to voice opinions which include reflection on relevant themes of a social, scientific or ethical nature.
CT3: The ability to manage information. To identify information needs and be familiar with the sources, bibliographical resources and services available in order to perform basic research in the field of study. To classify information according to relevancy and analyse it critically.
CT4: A capacity for team work. To define the group¿s objectives, rules of operation and work plan. To participate actively and in a balanced manner in team work, sharing information and results. To plan the agenda of activities and meetings, reviewing the group¿s progress and task integration. Conflict resolution and negotiation. To evaluate the group¿s effectiveness in terms of results achieved.
CT5: Ability of self-learning
CT6: Ability of solving new problems and decision-making capability
R1.- To carry out statistical analysis of data to summarize a report in an efficient and accurate way
R2.- To know a statistical package for working with data bases and simulation of random experiments
R3.- To model problems of random properties using probabilities, conditional probabilities and independent events
R4.- To recognize the main discrete and continuous probability distributions, and the main rules of probabilities
R5. Utilizar las técnicas inferenciales clásicas:estimación puntual, por intervalos y contrastes de hipótesis.
R6.- To know basic statistical models used in design of experiments, assessment and environmental problems
|Methodology - Activity||Attendance||Self-study|
|A-1 Theoretical clases||44|
|A-2 Computer Labs||14|
|A-3 Debates, group work, etc||1|
|A-4 Monitoring proofs||8|
|A-7 Exam, evalutaion proofs||4|
|Learning Outcomes||Evaluation Activity||Weight (%)||Second chance|
|R1-R2-R3-R4-R5-R6||Exam of theory and practice with computer||60||Yes|
Week 1: Descriptive Statistics
Weeks 2-5: Probability
Weeks 6-15: Inferencial Statistics
Ugarte, M. D., Militino, A. F., Arnholt, A. T. (2016). Probability and Statistics with R. 2nd Edition. CRC Press/Chapman and Hall.
Devore, J. (2005) Applied statistics for engineers and scientists. Thomson
Montgomery, D.C. (2002). Probabilidad y Estadística aplicadas a la ingeniería. Limusa-Wiley