Course Information
TitleΣΤΑΤΙΣΤΙΚΗ Ι / STATISTICS I
CodeΨΥ-300
FacultyPhilosophy
SchoolPsychology
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600013499

Programme of Study: PPS Tmīmatos PSychologías (2017-sīmera)

Registered students: 361
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course326

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Total Hours52
Class ID
600144483
Type of the Course
  • Background
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
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, chi-square, t-, and F-distributions. Basic concepts in estimation, confidence interval for means and proportions. Introduction to statistical hypothesis testing. Tests of means: one-sample t-test, t-tests for two independent and paired samples. Chi-square 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, e-learning
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1044
Reading Assigment240.9
Tutorial130.5
Interactive Teaching in Information Center130.5
Exams20.1
Total1566
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
11-10-2020