Statistical tests
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Statistical and Practical Significance of Articles at Sports Biomechanics Conferences
Background. The importance of using statistical approaches has increased and became necessary for researchers and specialists in sports biomechanics because they need more objective and accurate methods to increase knowledge. Objectives. Evaluate the reality of using practical significance in the articles published in scientific conferences in the biomechanical sport. Methods. One hundred twe...
متن کاملWilkinson’s tests and econometric software
The Wilkinson Tests, entry-level tests for assessing the numerical accuracy of statistical computations, have been applied to statistical software packages. Some software developers, having failed these tests, have corrected deficiencies in subsequent versions. Thus these tests have had a meliorative impact on the state of statistical software. These same tests are applied to several econometri...
متن کاملNonparametric statistical tests for the continuous data: the basic concept and the practical use
Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software packages strongly support parametric tests. Parametric tests require important assumption; assumption of normality which means that distribution of s...
متن کاملError in statistical tests of error in statistical tests
BACKGROUND A recent paper found that terminal digits of statistical values in Nature deviated significantly from an equiprobable distribution, indicating errors or inconsistencies in rounding. This finding, as well as the discovery that a large percentage of p values were inconsistent with reported test statistics, led to a great deal of concern in the popular press and scientific community. Th...
متن کاملThe power of statistical tests for moderators in meta-analysis.
Calculation of the statistical power of statistical tests is important in planning and interpreting the results of research studies, including meta-analyses. It is particularly important in moderator analyses in meta-analysis, which are often used as sensitivity analyses to rule out moderator effects but also may have low statistical power. This article describes how to compute statistical powe...
متن کاملWhich statistical tests should I use?
Statistical tests can be powerful tools for researchers. They provide valuable evidence from which we make decisions about the significance or robustness of research findings. Statistical tests are a critical part of the answers to our research questions and ultimately determine how confident we can be in the evidence to inform clinical practice. In addition to analysing data to answer research...
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