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This is a first course, where the basic elements of descriptive and inferential Statistics are explained in some detail. Statistics is a basic skill in the background of any student of Economics and Finance and it is a fixed requirement in most degrees in the field |
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The prerequities are those prescribed by the course of study where Statistics is situated. In more general terms, a good grounding in Mathematics will be useful (but not indispensable). Numerate people will be better off than literate people. |
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The main goal of the course is to give the student the necessary skills for summarizing in tables and charts data produced in the social sciences. With these data, well organized, this discipline makes it possible to discover the inner mechanism which produced these data. Namely to make a probabilistic inference on the population from a sample. |
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Main topics are:
Visual and tabular display of statistical data.
Descriptive Statistics.
Calculus of probability
Sampling
Sampling distributions
Normal, standard normal, binomial Poisson, t distributions.
Inference and hypothesis testing with samples
Elements of ANOVA.
Chi square analysis.
Univariate and multivariate regression analysis. |
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The textbook is: “Business Statistics” Berenson, Krehbiel, Levine Pearson |
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The exercises will cover all lessons in the course. So they can be divided in about 30-35 different categories. The textbook contains many exercises and some solved ones. The final exam will require a good dose of exercise solutions. The main criterion is the numerical correctness of the reply, but some credit will be given also to intelligent mistakes. |
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Professor/Tutor responsible for teaching
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