Statistics

Course Information
TitleΣΤΑΤΙΣΤΙΚΗ / Statistics
CodeNGGN 201Y
FacultySciences
SchoolGeology
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorChristina Anagnostopoulou
CommonNo
StatusActive
Course ID600019017

Programme of Study: PPS-Tmīma Geōlogías (2020-sīmera)

Registered students: 111
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course216

Class Information
Academic Year2023 – 2024
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
600235730
Course Type 2016-2020
  • General Knowledge
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
The course aims to introduce students to the basic principles of the field of Statistics, by emphasizing on the applications of Statistics in Geosciences. The course is designed to provide students with specific skills, i.e. to understand the use of the software SPSS, as a tool to be used for the interpretation of research results. Specifically, the course aims to: • Help students to understand and use the basic concepts of statistics and probability theory. • Description and analysis of quantitative data through the application of descriptive statistics. Students will be able to use fundamental concepts for data analysis, such as: a) Data type recognition, b) Data presentation with statistic plots and estimation of basic statistical measures. • Analysis and understanding of the basic methods of statistics and its applications. Students will be able to work on the topics of estimation, confidence interval assessment, hypothesis testing, simple and multiple regression, ANOVA test, Correlation.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Be critical and self-critical
Course Content (Syllabus)
Introduction - variables: Continuous and discrete variables, Probability theory -distributions (Bernoulli, Binomial, Poisson, Normal, X2, t και F). Descriptive statistics: introduction, Frequency tables, boxplots, histograms. Basic statistics (mean, median, standard deviation, IQR). Scatter plots. Exercise Hypothesis testing: One sample t- Test, Tests for differences of mean value, test of Goodness of Fit (Chi Square test, F test), test Kolmogorov-Smirnov, Exercise, Analysis of two variables: Correlation, linear correlation, simple linear regression, non-linear correlation, Least squares, sampling error, ANOVA test, Exercise. Multiple variable analysis: Generalized correlation, multiple linear regression • Frequencies-Frequency Tables-Cumulative Frequencies • Classes-Frequency Distribution Table-SPSS examples • Descriptive Statistics - Data Analysis – Box plots - SPSS examples • Hypothesis testing - SPSS examples • Compute Variables - Scatter plots - SPSS examples • Linear Regression - Errors - SPSS examples • Least Square Regression - SPSS examples • Linear correlation - multipoint correlation - SPSS examples • Linear regression and ANOVA test - SPSS
Keywords
Statistic, SPSS, Descriptive Statistic, Tests of hypotheses, Frequency analysis, Analysis of variance, regression, correlation
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Description
1) All class material is available in electronic form to all students through the course web page 2) The teacher communicates with students through email
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures65
Laboratory Work78
Reading Assigment4
Exams3
Total150
Student Assessment
Description
Quality management system of the Quality Assurance Unit (MO.DI.P.)
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative)
  • Written Exam with Short Answer Questions (Formative)
  • Written Exam with Extended Answer Questions (Formative)
Bibliography
Course Bibliography (Eudoxus)
ΣΤΑΤΙΣΤΙΚΗ ΜΕ SPSS, ΠΕΡΙΕΧΕΙ ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ, ΖΑΦΕΙΡΟΠΟΥΛΟΣ ΚΩΣΤΑΣ, ΜΥΛΩΝΑΣ ΝΙΚΟΣ, ISBN: 9789604186808, ΣΥΓΓΡΑΜΜΑ ΔΙΑΘΕΤΗΣ (ΕΚΔΟΤΗΣ): ΤΖΙΟΛΑΣ ΣΤΑΤΙΣΤΙΚΗ. ΠΕΡΙΛΗΠΤΙΚΗ ΘΕΩΡΙΑ - ΑΣΚΗΣΕΙΣ, ΝΙΚΟΣ ΦΑΡΜΑΚΗΣ,ISBN: 960-8183-18-9 ΣΤΑΤΙΣΤΙΚΗ, ΚΟΛΥΒΑ - ΜΑΧΑΙΡΑ ΦΩΤΕΙΝΗ, ΜΠΟΡΑ - ΣΕΝΤΑ ΕΥΘΥΜΙΑ,2Η ΕΚΔ./2012 ISBN: 978-960-456-350-0
Last Update
10-03-2020