Statistics (Economic Statistics)

Upon successful completion of the course students are expected to have:

Knowledge of basic statistical concepts – and how to present statistical data

Knowledge to describe combine or identify (a) The basic continuous theoretical probability distributions, (b) The concept of sampling and sampling distribution, (c) Estimation of population parameter confidence interval, (d) The process and formulation of controls (e) The concept of the correlation between modeling and the investigation of a causal relationship between socio-economic actors

Skills related to: (a) in calculating basic statistical measures (b) in, using numerators (c) in calculating linear correlation coefficient and simple regression parameters (d) Using Theoretical distributions (in particular of the Bionomic-distribution and the Poisson distribution) in solving practical problems. • Skills to be able to distinguish, explain or calculate and classify, probabilities of theoretical continuous probability distributions, probability of sampling distributions, population parameter confidence intervals, hypothesis tests, degree of correlation of two variables, parametric estimation, basic statistical evaluation of single and multiple regression models, Ability to:  Combine statistical data from companies and calculate key statistics and evaluate results  Be able to solve complex real and possibly unpredictable problems proving the knowledge and skills acquired from the course. To analyze, compose and finally formulate evaluative judgments on statistical issues of companies / organizations

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