gr

Statistics


Teaching Staff: To be announced
Course Code: ΤΠ-2005
Course Type: Compulsory
Course Level: Undergraduate
Course Language: Greek
Semester: 2nd
ECTS: 4
Teaching Units: 3
Teaching Hours: 3
Short Description:
  • Population, Sample, Types of Variables (Discrete and Continuous), Data Counting, Grouping, Collections, Data Classes, Frequency, Frequency Distributions.
  • Graphical methods (Histograms, Circular Charts, Pies, Time series, Scatter Charts, Color and Multidimensional Charts).
  • Numerical descriptive measures, Standard deviation and its meaning, Statistics of central tendency and variability, Position and dispersion measures, calculations from simple or grouped frequency tables, Nyquist frequency, Bayes' theorem.
  • Probability Density and Cumulative Probability Functions (Sample Distributions, Random Variable Sum Distributions), Normal (Gaussian) Distribution, Normalized Normal Distribution Values, Probability Calculations with Normal Distribution, chi-squared Distribution, Poisson, Weibull, Maxwell–Boltzmann Distributions.
  • Simple Linear Regression and Correlation (parametric spaces, construction of estimators using the least squares method), Non-Linear Regression.
  • The central limit theorem and its consequences, Point and space estimators, Unbiased minimum dispersion estimators, flow method and maximum probability method, Confidence intervals and case checks for one and two samples (independent or paired), the chi-squared test method

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