Statistics Ι

General

• Code: 103
• Semester: 1st
• Study Level: Undergraduate
• Course type: General Background
• Teaching and exams language: Greek
• Teaching Methods (Hours/Week): Lectures and Practice/Exercises (4)
• ECTS Units: 5
• Course homepage: https://elearning.cm.ihu.gr/course/view.php?id=436
• Instructors: Chapsa Xanthippi
• Class Schedule:
  • Tue 10:00 - 12:00: (Θ) Αμφιθέατρο 4
  • Wed 10:00 - 11:00: (Θ) Αμφιθέατρο 4
  • Wed 11:00 - 12:00: (ΑΠ) Αμφιθέατρο 4

Course Contents

• Introductory concepts, types of statistical data, gathering-sorting-presenting statistical data, frequency distributions, relative, cumulative and relative cumulative frequency, graphical representations.
• Descriptive measures: Parameters of position, dispersion and concentration of values, ordered or unordered, of numerical data.
• Sampling: Basic concepts, designing a sample survey, sampling designs.
• Functions – Probability Distributions. Introductory concepts in probability, chance experiments, sample space, contingencies, Bayes theorem, random variable, probability distributions, probability and probability density functions.
• Theoretical probability distributions. Bernoulli, Binomial, Poisson, Exponential, Normal, Normal as an approximation of Binomial and Poisson, Student, F, X2 tests.
• Statistical estimates. Point estimation, estimators and properties of point estimators (consistency, unbiasedness, efficiency, adequacy), central limit theorem, sampling distributions, confidence intervals for mean, proportion and variance of a population and for the difference of means, proportions and variances in the case of normal and non-normal populations.

Educational Goals

The course is a basic introductory course in Statistical Analysis. In particular, the course introduces students to data collection methods, their classification and processing using a statistical package.

Upon successful completion of the course, the student should be able to:

• understand basic statistical concepts,
• be able to apply descriptive statistics methods,
• to collect and analyze a set of quantitative or qualitative data,
• to construct and understand basic data description graphs and to assess any relationship that exists between these data,
• to solve problems using the laws of probability,
• to manage data to investigate and solve economic, demographic, business problems,
• to use Excel and the SPSS statistical package for data analysis.

General Skills

to be filled

Teaching Methods

• Face to face.

Use of ICT means

• Online guidance.
• Slides Projection in the classroom.
• Use of E-mail and onlne communication systems.
• Use of e-learning system (moodle).

Teaching Organization

Students Evaluation

to be filled

Recommended Bibliography

1. Ταμπάκης Ν. και Ξ. Χαψά (2013). «Εφαρμοσμένη Στατιστική – Εργαστηριακές Ασκήσεις». Θεσσαλονίκη: Εκδόσεις ΖΥΓΟΣ.
2. Ζαφειρόπουλος, Κ. (2017). «Εισαγωγή στη στατιστική και τις πιθανότητες». 2^η Έκδοση. Αθήνα: Εκδόσεις Κριτική.
3. Ζαχαροπούλου, Ζ. (2018). «ΣΤΑΤΙΣΤΙΚΗ. Μέθοδοι – Εφαρμογές». 7^η Έκδοση. Θεσσαλονίκη: Εκδόσεις Σοφία.