Introduction to Statistics (MAY431): Διαφορά μεταξύ των αναθεωρήσεων

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=== Attached Bibliography ===
=== Attached Bibliography ===


Texts in English:
See [https://service.eudoxus.gr/public/departments#20 Eudoxus]. Additionally:
* Mendenhall, W., Scheaffer, R. L. and Wackerly, D. D.(1981). Mathematical Statistics with Applications. 2d ed. ISBN: 0-534-98019-8. Duxbury Press. Boston
* Mendenhall, W., Scheaffer, R. L. and Wackerly, D. D.(1981). Mathematical Statistics with Applications. 2d ed. ISBN: 0-534-98019-8. Duxbury Press. Boston
Texts in Greek:
* Παπαιωάννου, Τ. και Λουκάς, Σ. 2002. Εισαγωγή στη Στατιστική. ISBN: 960-351- 409-8. Εκδόσεις Σταμούλη ΑΕ
* Κουνιάς, Σ., Κολύβα-Μαχαίρα, Φ., Μπαγιάτης, Κ., Μπόρα-Σέντα, Ε.(2001). Εισαγωγή στη Στατιστική. ISBN: 960-7577-15-9. Εκδότης Α. και Π. Χριστοδουλίδου Ο.Ε.

Αναθεώρηση της 22:13, 21 Ιουλίου 2022

Undergraduate Courses Outlines - Department of Mathematics

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) -

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 Eudoxus. Additionally:

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