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Course description
STATISTICS

## Competencies and objectives

#### Course context for academic year 2021-22

Statistics is a basic subject, which is fundamental in order to analyze experimental data. The objective of this course is to introduce the student to the use of the basic tools of statistics and the calculation of probabilities and their application in the field of Optics and Optometry. In particular, it is intended that the student develop the necessary skills to: (i) describe and synthesize the data collected on the various measurement scales, both through statistical indices and through graphic procedures; (ii) understand the elementary concepts and the fundamental rules of probability calculus; and (iii) understand the interpretation and limitations of the basic tools of statistical inference.

#### Course content (verified by ANECA in official undergraduate and Master’s degrees)

Specific competences (CE):>>Module 1: basic competences

• CES12 : Apply the general methods of Statistics to Optometry and the Sciences of vision.

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#### Specific objectives stated by the academic staff for academic year 2021-22

The main objective of this subject is to introduce the student to the use of the basic tools of statistics and the calculation of probabilities and their application in the field of Optics and Optometry. The aim is to develop in the student the ability to recognize a well-defined statistical problem and provide a minimum knowledge of the statistical tools necessary to, depending on its difficulty, directly solve the problem or be able to interact effectively with a professional statistician. These and other objectives are summarized below:

• Knowing how to recognize, in the real problems that you face or will face in your profession, a well-defined statistical problem.
• Analyze a set of experimental data using the most appropriate graphical and numerical methods for each type of situation, and rigorously interpret the results obtained.
• Calculate probabilities associated with random events using known probabilistic models.
•  Meet the fundamentals of statistical inference.
• Understand and carry out basic data analysis, including its statistical treatment and its processing with an application in computer statistics.
• Interact effectively with a statistician or, in the simplest cases, apply the tools of statistical inference to autonomously solve the problems of interest.

## General

Code: 24019
Lecturer responsible:
VICENTE PEREZ, JOSE
Credits ECTS: 6,00
Theoretical credits: 1,28
Practical credits: 1,12
Distance-base hours: 3,60

## Departments involved

• Dept: MATHEMATICS
Area: STATISTICS AND OPERATIONS RESEARCH
Theoretical credits: 1,28
Practical credits: 1,12
This Dept. is responsible for the course.
This Dept. is responsible for the final mark record.