# Introduction to Statistics (MAY431)

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### General

School School of Science Department of Mathematics Undergraduate ΜΑΕ431 4 Introduction to Statistics Lectures (Weekly Teaching Hours: 4, Credits: 7.5) General Background - Greek Yes (in English, reading Course) 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. 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
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