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Les riches ne le sont jamais assez pour financer l’État-providence | Contrepoints
Taxer à 100% tous les revenus excédant 2 700 € par mois en 2013 n’aurait pas été suffisant pour assurer l’équivalent d’un SMIC brut (1 430,22 € par mois en 2013) pour chaque Français. Taxer à 66% les revenus excédant 3 000 € par mois n’aurait pas été suffisant pour assurer un revenu de 1 100 € par mois pour chaque Français.
fr  france  statistics  socialism  taxes 
yesterday by pankkake
Understanding Statistical Power and Significance Testing
> Type I and Type II errors, β, α, p-values, power and effect sizes – the ritual of null hypothesis significance testing contains many strange concepts.
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> Much has been said about significance testing – most of it negative. Methodologists constantly point out that researchers misinterpret p-values. Some say that it is at best a meaningless exercise and at worst an impediment to scientific discoveries. Consequently, I believe it is extremely important that students and researchers correctly interpret statistical tests. This visualization is meant as an aid for students when they are learning about statistical hypothesis testing. The visualization is based on a one-sample Z-test. You can vary the sample size, power, signifance level and effect size using the sliders to see how the sampling distributions change.
data:visualization  statistics  R 
yesterday by sechilds
an interactive visualization
> Correlation is one of the most widely used tools in statistics. The correlation coefficient summarizes the association between two variables. In this visualization I show a scatter plot of two variables with a given correlation. The variables are samples from the standard normal distribution, which are then transformed to have a given correlation by using Cholesky decomposition. By moving the slider you will see how the shape of the data changes as the association becomes stronger or weaker. You can also look at the Venn diagram to see the amount of shared variance between the variables. It is also possible drag the data points to see how the correlation is influenced by outliers.
data:visualization  data  statistics  R 
yesterday by sechilds

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