ΜΥ04 - Statistics

Information

Code : ΜΥ04

Type : Obligatory

Semester : 3

ECTS credits: 6

Course URL: http://eclass.hua.gr/courses/DIT142/

Expected Outcomes

The objective of the course is to be well prepared for problem-solving involving statistics in the rest of your courses, as well as gaining an understanding of the role of statistics in your daily life.

Content

1. Elements of Descriptive Statistics: Population, Samples, Random Samples, Descriptive Measures, Frequency and Relative Frequency Tables, Plots of Empirical Frequency Distributions
2. Applications of Descriptive Statistics relative to Science of informatics and Telematics, lab exercises with R language
3. Statistical Inference: Point Estimation, Confidence Intervals of population parameters
4. Statistical Inference: Hypothesis Testing of population parameters
5. Applications of Statistical Inference relative to Science of informatics and Telematics, lab exercises with R language
6. Correlation and Linear Regression
7. Analysis of Variance
8. Applications of Linear Regression and Analysis of Variance relative to Science of informatics and Telematics, lab exercises with R language
9. - Independence Test
10. - Goodness of Fit Test
11. - Homogeneity Test
Applications of relative to - Homogeneity Test, lab exercises with R language

Evaluation Means

Bibliοgraphy

A. Kyriakoussis 2000. Statistical Methods, Symmetria Editions, Athens.
S. Loukas 2003, Statistics. Kritiki Editions.
M. Filippakis 2017. Statistical Methods and Regression Analysis for New Technologies. Tsotras Edistions.