Search results with tag "Statistical analyses"
A Handbook of Statistical Analyses Using R
www.ecostat.unical.itstatistical analyses. Because the sources of the R system are open and avail-able to everyone without restrictions and because of its powerful language and graphical capabilities, R has started to become the main computing engine for reproducible statistical research (Leisch, 2002a,b, 2003, Leisch and Rossini, 2003, Gentleman, 2005).
A Handbook of Statistical Analyses using SPSS - Academia.dk
www.academia.dkof statistical analyses using the latest version of SPSS, SPSS 11. Each chapter deals with a different type of analytical procedure applied to one or more data sets primarily (although not exclusively) from the social and behav-ioral areas. Although we concentrate largely on how to …
The Importance of Statistical Tools in Research Work
www.arcjournals.orgImproper statistical analyses distort scientific findings, mislead casual readers (Shepard, 2002)5, and may negatively influence the public perception of research. Integrity issues are just as relevant to analysis of non-statistical data as well. In deciding which test is appropriate to use, it is important to consider the type of variables ...
Basic Statistical Reporting for Articles Published in ...
www.equator-network.orgLang T, Altman D. Statistical Analyses and Methods in the Published Literature: the SAMPL Guidelines. 2 comprehensive—and comprehensible—set of
GCSE (9-1) Astronomy - Edexcel
qualifications.pearson.comc carrying out and representing mathematical and statistical analyses d representing distributions of results and making estimations of uncertainty e interpreting observations and other data (presented in verbal, diagrammatic, graphical, symbolic or numerical form), including identifying patterns and trends,
STATISTICAL METHODS - University of California, San Diego
sccn.ucsd.eduinference are essential. Although, the objective of statistical methods is to make the process of scientific research as efficient and productive as possible, many scientists and engineers have inadequate training in experimental design and in the proper selection of statistical analyses for experimentally acquired data. John L. Gill [1] states: