Title  ΣΤΑΤΙΣΤΙΚΗ Ι / STATISTICS I 
Code  ΨΥ300 
Faculty  Philosophy 
School  Psychology 
Cycle / Level  1st / Undergraduate 
Teaching Period  Winter 
Common  No 
Status  Active 
Course ID  600013499 
Programme of Study: PPS Tmīmatos PSychologías (2017sīmera)
Registered students: 361
Orientation  Attendance Type  Semester  Year  ECTS 

KORMOS  Compulsory Course  3  2  6 
Academic Year  2019 – 2020 
Class Period  Winter 
Faculty Instructors 

Weekly Hours  4 
Total Hours  52 
Class ID  600144483

Class Schedule
Building  Φιλοσοφική (Νέα) 
Floor  Όροφος 1 
Hall  ΑΜΦΙΘΕΑΤΡΟ 106 (125) 
Calendar  Τετάρτη 18:00 έως 20:00 
Building  Φιλοσοφική (Νέα) 
Floor  Όροφος 1 
Hall  ΑΜΦΙΘΕΑΤΡΟ 106 (125) 
Calendar  Παρασκευή 08:30 έως 10:00 
Course Type 20162020
 Background
Course Type 20112015
Specific Foundation / Core
Mode of Delivery
 Face to face
Digital Course Content
 eStudy Guide https://qa.auth.gr/en/class/1/600144483
Language of Instruction
 Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students are expected to:
1.Deeply understand the utility of the statistical methodology as a means of presenting, analyzing and explaining the empirical data of a research study in the field of psychology.
2.Acquire knowledge for the correct application of the basic statistical methods that are applied in descriptive, correlational and experimental research.
3.Deeply understand the process of transforming theoretical research hypotheses into the corresponding statistical ones.
4.Be able to apply the appropriate basic statistical methods and explain the results in relation to the type of variables and research hypotheses. This is accomplished by dealing with numerical examples and exercises.
General Competences
 Apply knowledge in practice
 Retrieve, analyse and synthesise data and information, with the use of necessary technologies
 Make decisions
 Advance free, creative and causative thinking
Course Content (Syllabus)
Introductory notions. Scales of measurement. Descriptive statistics, frequency distributions, graphic representation of frequency distributions, measures of central tendency (mean, mode, median), and measures of dispersion (range, variance, standard deviation, coefficient of variation). Introduction to correlation. Pearson correlation coefficient. Introduction to simple linear regression. Introduction to probability theory, normal distribution, chisquare, t, and Fdistributions. Basic concepts in estimation, confidence interval for means and proportions. Introduction to statistical hypothesis testing. Tests of means: onesample ttest, ttests for two independent and paired samples. Chisquare test of independence. Tests for equality of two proportions from independent and paired samples.
Keywords
Descriptive statistics, Correlation, Regression, Probability distributions, Estimation, Statistical tests
Educational Material Types
 Notes
Use of Information and Communication Technologies
Use of ICT
 Use of ICT in Course Teaching
 Use of ICT in Communication with Students
Description
PowerPoint presentation, email, elearning
Course Organization
Activities  Workload  ECTS  Individual  Teamwork  Erasmus 

Lectures  104  4  ✓  
Reading Assigment  24  0.9  ✓  
Tutorial  13  0.5  ✓  
Interactive Teaching in Information Center  13  0.5  
Exams  2  0.1  
Total  156  6 
Student Assessment
Description
Written assessment
Student Assessment methods
 Written Exam with Short Answer Questions (Summative)
 Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
Σημειώσεις Στατιστικής Ι
Last Update
11102020