Search results for "luottamustasot"

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How to reach optimal estimates of confidence intervals in microscopic counting of phytoplankton?

2021

Abstract Present practices in the microscopic counting of phytoplankton to estimate the reliability of results rely on the assumption of a random distribution of taxa in sample preparations. In contrast to that and in agreement with the literature, we show that aggregated distribution is common and can lead to over-optimistic confidence intervals, if estimated according to the shortcut procedure of Lund et al. based on the number of counted cells. We found a good linear correlation between the distribution independent confidence intervals for medians and those for parametric statistics so that 95% confidence intervals can be approximated by using a correction factor of 1.4. Instead, the rec…

0106 biological sciencestilastomenetelmätSample (statistics)mikroskopiaAquatic Scienceluottamustasotdynamic counting010603 evolutionary biology01 natural sciencesStatisticsAcademicSubjects/SCI00970laskeminenconfidence intervalsERROREcology Evolution Behavior and SystematicsReliability (statistics)estimointiParametric statisticsMathematicsEcology010604 marine biology & hydrobiologyplanktonContrast (statistics)mikrolevätConfidence interval1181 Ecology evolutionary biologymicroscopyphytoplanktonOriginal ArticleLinear correlationJournal of Plankton Research
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Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

2021

Common reporting styles for statistical results in scientific articles, such as $p$ p -values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework. For example when the $p$ p -value is small enough or the CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute differences in the effect sizes. This type of reasoning has been shown to be potentially harmful to science. Techniques relying on the visual estimation of the strength of evidence have been recom…

FOS: Computer and information sciencesvisualisointiBayesian inferencetilastomenetelmätComputer Science - Human-Computer Interactiontulkinta02 engineering and technologyBayesian inferenceluottamustasotHuman-Computer Interaction (cs.HC)cliff effectData visualizationhypothesis testing0202 electrical engineering electronic engineering information engineeringStatistical inferencevisualizationconfidence intervalsStatistical hypothesis testingpäättelybusiness.industrybayesilainen menetelmäOther Statistics (stat.OT)Multilevel model020207 software engineeringtilastografiikkaComputer Graphics and Computer-Aided DesignConfidence intervalStatistics - Other StatisticsSignal ProcessingComputer Vision and Pattern RecognitionbusinessPsychologyNull hypothesisValue (mathematics)SoftwareCognitive psychologystatistical inference
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