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Directorium generale vranometricum in quo trigonometriae logarithmicae fundamenta, ac regulae demonstrantur, astronomicaeq[ue] supputationes ad solam ferè vulgarem additionem reducuntur. ...
Mississippi Official and Statistical Register
Statistical Tables and Graphs
Statistical Significance
This comprehensive and accessible book provides an overview of the central and most fundamental methodological issue for empirical researchers - how should we interpret statistical significance? Beginning with a thorough introduction to null-hypothesis testing and statistical significance, the book then advances the arguments for and against the current interpretations and the use of significance testing in research. Siu L Chow presents a coherent challenge to contemporary criticisms of significance testing and offers a substantial and thought-provoking contribution to the debate on the proper role of statistical significance in empirical research.
The Statistical Mind in a Pre-statistical Era
The inclination to view issues in statistical terms and its development in the pre-statistical era between 1750-1850 is validated in this landmark study. A quantifying spirit began to develop during the eighteenth century that manifested itself in numerous distinct areas, such as mathematics, astronomy, standards of living, mortality, water levels, population, taxation, finance, insurance, trade, and crime. This study is the first to analyze measurement, theoretical statistics, and statistical activity as one phenomenon in all aspects. It has profited from the expertise of a variety of qualified historians: economic and social historians, historians of demography, of natural science, of mathematics, and of law. The contributors pay attention to the extent to which a typically Dutch statistical mind developed, while at the same time providing insight into the nature of influences from abroad and their possible interactions.
Pakistan Statistical Yearbook
Intermediate Statistical Exercises
Statistical Methods in Biological and Medical Sciences
Genetics and epidemiology. Anthroprometry and evolutionary biology . Cancer biology. Medical statistics.