# STATISTICS I

 Title ΣΤΑΤΙΣΤΙΚΗ Ι / STATISTICS I Code ΨΥ-300 Faculty Philosophy School Psychology Cycle / Level 1st / Undergraduate Teaching Period Winter Common No Status Active Course ID 600013499

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

Registered students: 337
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course326

 Academic Year 2021 – 2022 Class Period Winter Instructors from Other Categories Weekly Hours 4 Total Hours 52 Class ID 600191235
Course Type 2016-2020
• Background
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Distance learning
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
• Video lectures
• Multimedia
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
Lectures1044
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