Introduction to Statistics (MAY431): Διαφορά μεταξύ των αναθεωρήσεων

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* [[Εισαγωγή στη Στατιστική (ΜΑΥ431)|Ελληνική Έκδοση]]
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=== General ===
=== General ===
Γραμμή 113: Γραμμή 115:
=== Attached Bibliography ===
=== Attached Bibliography ===


See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Additionally:
<!-- In order to edit the bibliography, visit the webpage -->
* Mendenhall, W., Scheaffer, R. L. and Wackerly, D. D.(1981). Mathematical Statistics with Applications. 2d ed. ISBN: 0-534-98019-8. Duxbury Press. Boston
<!-- https://wiki.math.uoi.gr/index.php/%CE%A0%CF%81%CF%8C%CF%84%CF%85%CF%80%CE%BF:MAY431-Biblio -->
 
See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
 
{{MAY431-Biblio}}

Τελευταία αναθεώρηση της 12:23, 15 Ιουνίου 2023

General

School

School of Science

Academic Unit

Department of Mathematics

Level of Studies

Undergraduate

Course Code

ΜΑΕ431

Semester 4
Course Title

Introduction to Statistics

Independent Teaching Activities

Lectures (Weekly Teaching Hours: 4, Credits: 7.5)

Course Type

General Background

Prerequisite Courses -
Language of Instruction and Examinations

Greek

Is the Course Offered to Erasmus Students

Yes (in English, reading Course)

Course Website (URL) See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

At the end of the course student should be able to:

  • Understand the meaning of the population and the random sample.
  • Present summary quantitative and qualitative data.
  • Estimate unknown population parameters.
  • Carry out basic statistical hypothesis, and finally,
  • Be able to simply adapt linear regression models and conduct one way analysis of variance.
General Competences
  • Working independently
  • Decision-making
  • Production of free, creative and inductive thinking
  • Criticism and self-criticism

Syllabus

Descriptive Statistics. Population, Samples & Random Samples. Frequencies, Histograms & Frequencies Statistics. Statistics & Sampling Distributions. χ2, t & F Distributions. Sampling from Normal Populations. Statistical Inference: Parameter Estimation & Tests of Hypotheses. Simple Linear Regression. One-Way & Two-Way Analysis of Variance.

Teaching and Learning Methods - Evaluation

Delivery

Classroom (face-to-face)

Use of Information and Communications Technology -
Teaching Methods
Activity Semester Workload
Lectures (13 X 4) 52
Working independently 104
Exercises-Homeworks 31.5
Course total 187.5
Student Performance Evaluation

Final written exam in Greek (in case of Erasmus students in English).

Attached Bibliography

See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:

  • Mendenhall, W., Scheaffer, R. L. and Wackerly, D. D.(1981). Mathematical Statistics with Applications. 2d ed. ISBN: 0-534-98019-8. Duxbury Press. Boston