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 Title Foundations of Descriptive and Inferential Statistics
 Author(s) Henk van Elst
 Publisher: Arxiv.org (2019)
 Paperback N/A
 eBook PDF
 Languages: English, Belorussian
 ISBN10: N/A
 ISBN13: N/A
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Book Description
These lecture notes were written with the aim to provide an accessible though technically solid introduction to the logic of systematical analyses of statistical data to both undergraduate and postgraduate students, in particular in the Social Sciences, Economics, and the Financial Services. They may also serve as a general reference for the application of quantitativeempirical research methods.
In an attempt to encourage the adoption of an interdisciplinary perspective on quantitative problems arising in practice, the notes cover the four broad topics (i) descriptive statistical processing of raw data, (ii) elementary probability theory, (iii) the operationalisation of onedimensional latent statistical variables according to Likert's widely used scaling approach, and (iv) null hypothesis significance testing within the frequentist approach to probability theory concerning (a) distributional differences of variables between subgroups of a target population, and (b) statistical associations between two variables.
The relevance of effect sizes for making inferences is emphasised. These lecture notes are fully hyperlinked, thus providing a direct route to original scientific papers as well as to interesting biographical information. They also list many commands for running statistical functions and data analysis routines in the software packages R, SPSS, EXCEL and OpenOffice. The immediate involvement in actual data analysis practices is strongly recommended.
About the Authors N/A
 Statistics, Mathematical Statistics, and SAS Programming
 Probability, Stochastic Process, Queueing Theory, etc.
 Applied Mathematics
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