Statistics
Code: 103992Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Prevention and Integral Safety and Security | FB | 1 |
Contact lecturer
- Name :
- Jose Luis Masson Guerra
- Email :
- joseluis.masson@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
This subject does not have any specific requirements
Objectives
Learn the basic statistical theoretical basis for the analysis and comprehension of information prepared by the competent bodies in the field of security and by statistical observatories.
Master the formulation necessary to prepare and adjust for themselves the statistical information to their own specific environments, both public or private activity, where they develop their function in the future.
Have the ability to infer and make forecasts and forecasts and know the relevant variables and their management in scenarios of risk, uncertainty and competition.
Use basic tools and computer programs, complementary to the content of the subject.
Learning outcomes
- Use the capacity for analysis and synthesis to solve problems.
- Work in institutional and interprofessional networks.
- Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
- Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
- Students must be capable of collecting and interpreting relevant data (usually within their area of study) in order to make statements that reflect social, scientific or ethical relevant issues.
- Students must be capable of communicating information, ideas, problems and solutions to both specialised and non-specialised audiences.
- Students must develop the necessary learning skills to undertake further training with a high degree of autonomy.
- Work and learn autonomously.
- Know how to communicate and transmit ideas and result efficiently in a professional and non-expert environment, both orally and in writing.
- Design a project applied to integral security and prevention in an organisation.
- Carry out scientific thinking and critical reasoning in matters of preventions and security.
- Weigh up the risks and benefits of both your own proposals for improvement and those of others.
- Be able to communicate efficiently in English, both orally and in writing.
- Analyse indicators of sustainability for academic and professional activities in the area including social, economic and environmental considerations.
- Apply tools and develop specific software for solving the problems that are particular to security, the environment, quality and social corporate responsibility.
- Propose new ways to measure success or failure when implementing ground-breaking proposals or ideas.
- Identify the social, economic and environmental implications of the academic and professional activities in the field of self-knowledge.
- Apply the basis of statistics, economics and finance, in the applicable legal framework and the informatics necessary to undertake prevention and security.
Contents
1. Introduction
1.1. Concept of Statistics
1.2. Statistical sources
1.3. Statistical data applied to risks' prevention
1.4. Statistics in the decision making
2. Statistical observation
2.1. Universe and sample
2.2. Variables and attributes
2.3. Data and its treatment
2.4. Counting methods
2.5. Frequency tables
3. Analysis of one variable
3.1. Position measures
3.1.1. Mode, median, quantiles and averages
3.2. Dispersion measures
3.2.1 Range, expected value, variance and standard deviation
3.3. Distribution measures
3.3.1. Skewness and kurtosis
3.3.2. The histogram
3.4. Grouping and distribution of frequencies
3.4.1. Graphic analysis
4. Analysis of two variables
4.2. Contingency tables
4.1. Correlation and linear regression
5. Time series. Introduction
5.1. Trend and variation types
5.2. Moving average
6. Combinatorics
6.1. Probability. Introduction
6.2.1. Classical or a priori, a posteriori, subjective, axiomatic and conditional
6.2. Basic theorems
6.3. Probability and risk
6.4. Density and frequency functions
6.5. Probability and forecasts
6.6. Probability adjusted to risk environments
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Resolution of practical cases. Realization of works. Personal study | 110 | 4.4 | |
| Theoretical classes with ICT support to solve doubts | 12 | 0.48 | |
| Discussion forums, resolution of practical cases and tests. Tutorials and videoconference sessions | 20 | 0.8 | |
| Evaluation | 4 | 0.16 |
Teaching language: Spanish
Students must study the teaching units provided, which are enough to progress in this subject. Recommended bibliography should be considered as a helping tool. There will be several virtual sessions that will allow the student to review the content that he/she has been individually working on.
They also must deliver the PECs previously arranged in the calendar.
For the completion of PEC 0 it is required to research and collect data from, among others, the recommended.
Tutorials with the teaching staff will be arranged by email, upon request.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Final project | 25% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 |
| Written or oral tests to assess the knowledge acquired by the student | 50% | 4 | 0.16 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 |
| Understanding and correct use of concepts and formulas or applications in the realization and delivery of the works and exercises required on-line. | 25% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 |
Continuos Assessment
1-Individual theoretical-practical test
Final test to do individually, in any format: test, development or resolution of exercises. This test will be required to pass the subject and will be done at the scheduled date and time. Under the criteria of continuous assessment, this test will weight in the final grade, as established in the table, of 50%. This test must have a score of 4 or higher (out of 10) to be considered.
Not passing the subject, and according to the criteria of the continuous assessment, a re-take test is offered on the scheduled date and time. The test will gather the entire content of the program. In order to do this re-take, there must be evidence of evaluation during the course of at least 2/3 of the content used to assess the final grade. However, after the re-take, the final grade will be no more than 5-Pass.
If you need to change the date of any test, the petition must be submitted by filling out the document you will find in the moodle EPSI Tutorial space.
If the student makes any irregularities that may lead to a significant variation in the qualification of an evaluation act, this evaluation act will be classified with a 0, regardless of the disciplinary process that can be instructed. produce different irregularities in the acts of evaluation of the same subject, the final grade of this subject will be 0.
2 -Online individual theoretical and practical tests - periodic exercises
Individual resolution of tests, to be delivered periodically. The number of these tests will be determined at the beginning. Their evaluation will be based on:
- Timely delivery of the proposed PECs. It is required to deliver at least 2/3 of them. Those not delivered will be graded as 0 (zero)
- Quality of the exhibitions and answers
- Understanding and mastery of the subject
- Additional contribution that deepens the subject (penalizing plagiarism)
- Ability to express and summarize
- Do not copy literal texts of the teaching material provided
They can be done by sharing knowledge with other members of the subject but the delivery will be individual. The delivery will be virtual within the arranged deadlines. The average in the grades of these tests (0 to 10) will have a weight in the final grade of the subject of 25%.
3 - Long-term assignment
Long-term evaluation serves as a recopilatory work of the subject. Its topic and content will be specified at the beginning of the course. It will be evaluated based on:
- The quality of content and analysis, as well as the orderly and attractive presentation
- The use of the statistics studied in the course
- The variety and actuality of used sources
- The ability to analyze the information
- The ability to predict and extrapolate, given the analysis
- Analysis and conclusions of the work carried out
The presentation of the work is required to qualify the subject. Working on it is individual. You can not share your elaboration with other members of the course.
Important! The grading will be from 0 to 10, with a weigth in the final grade of the subject of 25%.
Single Evaluation
The assessment of students may consist of a single synthesis test. Students pursuing this option must contact with the teachers at the beginning of the course.
To pass the course, the final grade must be 5 or higher.
If the average grade of the course is lower than 3.5, the course will be considered as not passed. If the average grade is lower than 5 but higher than 3.5, the student may participate in a re-evaluation test.
Evaluation of the students in second or more summons
Students who repeat the course will have to take the scheduled testsand exams and hand in the course work on the dates indicated in the Moodle classroom.
Recovery Exam
The student who does not pass the course, according to the criteria established in the two previous sections may take a final exam provided that the student has been evaluated in a set of activities, the weight of which is equivalent to a minimum of two thirds of the total grade of the course. If the student has not been evaluated of these two thirds because he/she has not taken the tests, he/she will obtain a grade of Not Evaluated, without the possibility of taking the final exam.
In this exam the whole of the contents of the subject that have not been passed in the continuous evaluation will be re-evaluated.
In the case of passing the final exam, the course will be approved with a maximum of 5, regardless of the grade obtained in the exam.
Changing the date of a test or exam
Students who need to change an evaluation date must submit the request by filling out the document that can be found in the EPSI Tutoring Moodle space.
Once the document has been filled in, it must be sent to the professor of the subject and to the coordination of the Degree.
Revision
At the time of each evaluation activity, the faculty will inform the students of the grade review mechanisms.
For single evaluation students, the review process will be the same.
Other considerations - Plagiarism
Without prejudice to other disciplinary measures deemed appropriate, and in accordance with current academic regulations, \"in the event that the student performs any irregularity that may lead to a significant variation in the grade of an act of evaluation, this act of evaluation will be graded with a 0, regardless of the disciplinary process that may be instigated. in the event that several irregularities occur in the acts of evaluation of the same subject, the final grade of this subject will be 0 \".
If thereare supervening circumstances that prevent the normal development of the subject, the faculty may modify both the methodology and the evaluation of the subject.
If during the correction there are indications that an activity or work has been done with answers assisted by artificial intelligence, the teacher may complement the activity with a personal interview to corroborate the authorship of the text.
Artificial Intelligence
Prohibited use: \"In this course, the use of Artificial Intelligence (AI) technologies is not permitted in any of its phases. Any work that includes AI-generated fragments will be considered a breach of academic dishonesty and may result in a partial or total penalty in the assignment grade, or greater penalties in serious cases.\"
Bibliography
Paul g. Hoel. Introducción a la Estadística Matemática
Paul g. Hoel, Raymond J. Jessen.- Estadística Básica para Negocios y Economía
Angel Alcaide, Nelson Alvarez .- Econometría, Modelos Deterministas y Estocásticos.
Sánchez Fdez. J.- Introducción a la Estadística Empresarial
Jorge Galbiati. .- Estadistica Asistida por Ordenador
Vladimir Zaiats, M.Luz Calle i Rosa Presas.- Probabilitat i Estadisitica. Exercicis I
Alfonso Garcia Barbancho y Vicente Lozano .- Estadística Teórica
R.S & D.L. Rubinfeld .- Econometric Models and Economic Forecasts.
Software
Microsoft Excel
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 1 | Spanish | first semester | afternoon |