Syllabus query



Academic Year/course: 2021/22

592 -

18872 - BASIC STATISTICS AND PROBABILITY

This is a non-sworn translation intended to provide students with information about the course


Information of the subject

Code - Course title:
18872 - BASIC STATISTICS AND PROBABILITY
Degree:
592 -
Faculty:
104 - Facultad de Ciencias
Academic year:
2021/22

1. Course details

1.1. Content area

-

1.2. Course nature

Optional

1.3. Course level

Grado

1.4. Year of study

XX

1.5. Semester

First semester

1.6. ECTS Credit allotment

6.0

1.7. Language of instruction

English

1.8. Prerequisites

-

1.9. Recommendations

Good background in High School Algebra

1.10. Minimum attendance requirement

Attendance is compulsory

1.11. Subject coordinator

Antonio Sanchez Calle

1.12. Competences and learning outcomes

1.12.1. Competences

-

1.12.2. Learning outcomes

-

1.12.3. Course objectives

The main aim of this course is to introduce the student to the basic statistical concepts that will permit a first approach to the descriptive and the inferential statistical tools, giving enough background to interpret the basic Statistics results found in scientific papers. The course is completed with a short introduction to the elementary concepts in Probability, essential to give a scientific foundation to Mathematical Statistics. These general objectives may be summarized in the following four points:

 

  1. Introduction to the basic Statistical tools to analyze data proceeding from a variety of sources.
  2. Introduction to the basics of Probability.
  3. Ability to read and understand statistical texts from several scientific areas.
  4. Use of basic computing statistical tools.

1.13. Course contents

  • DESCRIPTIVE STATISTICS: Graphical and numerical representation of quantitative data. Paired data: covariance, regression line, correlation coefficient.    
  • PROBABILITY MODELS AND SAMPLING: Discrete random variables. Bernoulli trials. Binomial distribution. Continuous random variables. Uniform distribution. Normal distribution. Sampling. Estimators. Distributions related to the normal distribution: Chi square, Student's t, F.
    POINT ESTIMATION: The concept of a point estimator. Properties. Criteria to determine good point estimators.
  • CONFIDENCE INTERVALS: Constructing confidence intervals. Confidence intervals for proportions. Confidence intervals for means in normal populations. Paired data. Approximate intervals from large samples. Minimum sample size.
    HYPOTHESIS TESTING: Setting of the problem. Null and alternative hypothesis. Type I and Type errors. Significance level and rejection set. Tests for ratios. Tests for mean in  normal populations. Paired data. Relationship between confidence intervals and hypothesis testing. What is the p-value? Non-parametric tests: goodness of fit.

1.14. Course bibliography

  • MCCLAVE, JAMES T. and SINCICH, TERRY. Statistics (12th international ed.) Pearson Education International. ISBN 13: 978-0-321-80728-1.

         Other texts

  • MOORE, DAVID S.  The Basic Practice of Statistics. W. H. Freeman, (several editions).
  • MILTON, J. SUSAN and ARNOLD, JESSE C. Introduction to Probability & Statistics. McGraw-Hill, (several editions).

2. Teaching-and-learning methodologies and student workload

2.1. Contact hours

 

#horas

Contact hours (minimum 33%)

60

Independent study time

90

The course will meet 4 hours per week. The material of the course will be covered during two of these four hours. The other two hours will be dedicated to discussing and solving exercises, using specialized computer software, and doing exams and quizzes.

Homework will be due on weeks 3, 7, and 12. Homework can be worked out in groups but should be turned in individually.

Students are supposed to dedicate 6 hours per week to personal study and work.

2.2. List of training activities

Activity

# hours

Lectures

 

Seminars

 

Practical sessions

 

Clinical sessions

 

Computer lab

 

Fieldwork

 

Laboratory

 

Work placement

 

Supervised study

 

Tutorials

 

Assessment activities

 

Other

 

3. Evaluation procedures and weight of components in the final grade

3.1. Regular assessment

During the semester, two quizzes and a midterm will be given. The final grade will determined as follows: the final exam will count 40%, the midterm will count 30%, homework and quizzes 30%.

3.1.1. List of evaluation activities

Evaluatory activity

%

Final exam

40

Continuous assessment

60

3.2. Resit

-

3.2.1. List of evaluation activities

Evaluatory activity

%

Final exam

 

Continuous assessment

 

4. Proposed workplan

Our weekly sessions will follow, more or less, the following schedule:

  • Introduction and overview. Statistics, what is it? Types of data.

  • Data description, summaries. Diagrams, plots, numbers.

  • Introduction to Probability, elementary problems.

  • A more formal approach to probability.

  • Random variables. Discrete random variables.

  • Bernoulli trials, binomial distribution.

  • Continuous random variables. Uniform and normal distributions.

  • Sampling and the Central Limit Theorem.

  • Point and interval estimation. Means and Proportions.

  • Hypothesis testing.

  • Hypothesis testing for the mean, known variance.

  • Hypothesis testing for mean and variance.

  • Two-sample inferences, equal variances.

Apart from the final exam there will be two quizzes and a midterm. We will have a review session before the midterm. You can check the dates in the official calendar.


Curso Académico: 2021/22

592 - Asignaturas transversales

18872 - BASIC STATISTICS AND PROBABILITY


Información de la asignatura

Código - Nombre:
18872 - BASIC STATISTICS AND PROBABILITY
Titulación:
592 - Asignaturas transversales
Centro:
104 - Facultad de Ciencias
Curso Académico:
2021/22

1. Detalles de la asignatura

1.1. Materia

-

1.2. Carácter

Optativa

1.3. Nivel

Grado

1.4. Curso

XX

1.5. Semestre

Primer semestre

1.6. Número de créditos ECTS

6.0

1.7. Idioma

English

1.8. Requisitos previos

-

1.9. Recomendaciones

-

1.10. Requisitos mínimos de asistencia

-

1.11. Coordinador/a de la asignatura

Antonio Sanchez Calle

1.12. Competencias y resultados del aprendizaje

1.12.1. Competencias

-

1.12.2. Resultados de aprendizaje

-

1.12.3. Objetivos de la asignatura

-

1.13. Contenidos del programa

-

1.14. Referencias de consulta

 

2. Metodologías docentes y tiempo de trabajo del estudiante

2.1. Presencialidad

 

#horas

Porcentaje de actividades presenciales (mínimo 33% del total)

 

Porcentaje de actividades no presenciales

 

 

 

2.2. Relación de actividades formativas

Actividades presenciales

Nº horas

Clases teóricas en aula

 

Seminarios

 

Clases prácticas en aula

 

Prácticas clínicas

 

Prácticas con medios informáticos

 

Prácticas de campo

 

Prácticas de laboratorio

 

Prácticas externas y/o practicum

 

Trabajos académicamente dirigidos

 

Tutorías

 

Actividades de evaluación

 

Otras

 

3. Sistemas de evaluación y porcentaje en la calificación final

3.1. Convocatoria ordinaria

-

3.1.1. Relación actividades de evaluación

Actividad de evaluación

%

Examen final (máximo 70% de la calificación final o el porcentaje que figure en la memoria)

 

Evaluación continua

 

3.2. Convocatoria extraordinaria

-

3.2.1. Relación actividades de evaluación

Actividad de evaluación

%

Examen final (máximo 70% de la calificación final o el porcentaje que figure en la memoria)

 

Evaluación continua

 

4. Cronograma orientativo

-