Background, GeneralKnowledge, Scientific Area, Skill Development

• To acquaint students with the necessary knowledge required to summarize, classify, describe and present datasets. The methods of descriptive statistics and inductive statistics are the appropriate tool. It is an introductory course in the basic concepts of Statistics, as they are applied in the Social Sciences.

Upon successful completion of the course students will be able to:

·         1. Understand the basic concepts of statistical science, 2. Create and explain tables of frequency distributions, 3. Calculate position and dispersion measures and justify their status, 4. Convert initial data into standard z, T and σ values, 5. Understand the properties of normal and sample distribution; 6. Create statistical assumptions and understand their utility7. Calculate simple linear and non-parametric correlations and justify their results; 8. Compare frequencies by applying the appropriate method of analysis.

·         To understand the usefulness of different statistical methods in scientific research, to understand the logic regulating the application of various statistical tools, to choose the appropriate statistical technique and to perform the necessary calculations and to know how to interpret the results of their efforts.

·         To assimilate concepts analyzed in lectures, through the study of textbooks, bibliography.

·         Solve (having developed synthetic ability and critical thinking) practical social problems through research.

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive thinking

·         Autonomous work

·         Search, analysis and synthesis of data and information, using the necessary technologies

·         Work in an interdisciplinary environment

·         Production of free, creative and inductive thinking

·         Exercise criticism and self-criticism

1.       Introduction to statistics-scientific method and statistics-population and sample

2.       Social variables and their measurement. Types of variables (quantitative, qualitative).

3.       Levels of measurement (unit of measurement, indicators, social indicators. Scales of

measurement)

4.       Data presentation. – Qualitative data

5.       Data presentation. – Quantitative data

6.       Central tendency indicators.

7.       Exercises – Central tendency indicators

8.       Dispersion measures, asymmetry and kurtosis

9.       Exercises – Dispersion measures

10.   Variable transformations and z-values

11.   Normal and sampling distributions.

12.   Hypothesis testing

13.   Relationships between variables

Distance learning when necessary

2. Posting of basic elements of the courses in the e-class.

3. Research in the literature through electronic databases of libraries, practical conferences

4. Discussion of a movie with relevant content

5. Teaching through TEAMS platform

The way and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographicresearch& analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

The student study hours for each learning activity are listed as well as the non-guided study hours so that the total workload at the semester level corresponds to the ECTS standards.

Description of the evaluation process

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Public Presentation, Laboratory Report,Clinical examination of a patient,Artistic interpretation, Other/Others

Explicitly defined assessment criteria and if and where are accessible to students are mentioned.

Final exam : Multiple Choice Test, Short Answer Questions,  Questions yes -no, Problem Solving

2. Book [12867694]: Introduction to Statistics GrigorisXlouverakis / FIELD

2. The duration of the exam will be 1 hour and multiple choice questions will be answered, yes-no, word completion, matching. The exam test will be in “EXERCISES” in the menu on the left in the e-class of the  “Exams IN Social statistics”. You will choose the exercise that in its title includes the first 3 letters of your surname (clarifications will be given in e-class).

3. There will also be a link of TEAMS  for the exams. The link will be sent to students via e-class exclusively to the institutional accounts of those who have registered for the course and have learned the terms of distance education specifically in the course created in e-class for the exams “Exams in social statistics”. This virtual room will be used for oral examinations.