lsjdocs - German @ Hosted Weblate

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Overview

Project website	lsj.readthedocs.io
Instructions for translators	Dear translators, welcome and thank you for your willingness to contribute to the translation of the “learning statistics with jamovi”-text book! There are a couple of things that I would like to ask you, in order to make your and my life a bit easier (manual corrections need time, so that what you translated won't appear until I fixed it): [1] There are buttons underneath the “Translation” box. One of them is “Automatic suggestions” which provides you with a machine translation of the text to be translated. This can just be copied into the target field for the translation and adjusted. [2] There are a couple of text elements that should be treated different from the rest of the text (please check: the automatic suggestions might translate this “wrong”): - placeholders (marked by “\|”) should not be translated: e.g., \|placeholder\| or \|placeholder\|_, among them is \|continuous\| which produces an icon denoting a continuous level of measurement - double backticks `: they typically are used for variable or analysis names – the variable names shouldn't be changed, for the analysis names, it is up to your discretion whether to translate them or not (I decided to rather go with the English analysis since the feature to set the UI language in jamovi is fairly new and it is relatively simple to figure out the translated name from the English one) - be careful that :doc:` does not contain spaces at the begin of the string, also ensure to leave the part enclosed by <> as it is (it points to a file; therefore, please double-check that the automatic translation did not translate it otherwise it will end up as a broken link) - figure references, e.g., :numref:`fig-normAreaSD` should not to be translated - (language-specific) quotation marks: there are buttons above the text field for the target translation that can be used to replace "'s by your language specific quotation marks [3] markdown-formattings for italicsor bold: please ensure that the stars are placed around the same word / meaning in the translation as in the original [4] if there doesn't exist a good translation of a particular word or technical term, either try "translation (original word / phrase)" or "original word / phrase" (this shows the original English term in italics either with a translation that you may not be completely happy with or without a translation Finally, I would like to suggest that you install LanguageTool (browser add-on) as an additional check that your translations are correct (however, LanguageTool might not be available for every language). Don't hesitate to contact me (@sjentsch) if you have questions or suggestions.
Project maintainers	sjentsch
Language	German
Language code	de
Text direction	Left to right
Case sensitivity	Case-sensitive
Number of speakers	141,444,441

yesterday

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		4,314		183,512		1,094,120
Translated	99%	4,309	99%	182,941	99%	1,090,744
Needs editing	0%	0	0%	0	0%	0
Read-only	0%	0	0%	0	0%	0
Failing checks	1%	5	1%	53	1%	518
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	1%	5	1%	571	1%	3,376

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None Resource updated lsjdocs Ch13 German	The “`de/LC_MESSAGES/Ch13.po`” file was changed. yesterday
None String updated in the repository lsjdocs Ch13 German	English \begin{array}{rcl} \mbox{RSS}_{b} &=& \sum_k \sum_i ( \bar{R}_k - \bar{R} )^2 \\ &=& \sum_k N_k ( \bar{R}_k - \bar{R} )^2 \end{array} German 0 characters edited Current translation Translated \begin{array}{rcl} \mbox{RSS}_{b} &=& \sum_k \sum_i ( \bar{R}_k - \bar{R} )^2 \\ &=& \sum_k N_k ( \bar{R}_k - \bar{R} )^2 \end{array} yesterday
None String updated in the repository lsjdocs Ch13 German	English \mbox{RSS}_{tot} = \sum_k \sum_i ( R_{ik} - \bar{R} )^2 German 0 characters edited Current translation Translated \mbox{RSS}_{tot} = \sum_k \sum_i ( R_{ik} - \bar{R} )^2 yesterday
None String updated in the repository lsjdocs Ch13 German	English \bar{R} = \frac{1}{N} \sum_{i} \sum_{k} R_{ik} German 0 characters edited Current translation Translated \bar{R} = \frac{1}{N} \sum_{i} \sum_{k} R_{ik} yesterday
None String updated in the repository lsjdocs Ch13 German	English \bar{R}_k = \frac{1}{N_K} \sum_{i} R_{ik} German 0 characters edited Current translation Translated \bar{R}_k = \frac{1}{N_K} \sum_{i} R_{ik} yesterday
None String updated in the repository lsjdocs Ch13 German	English Okay, so how do we run the Levene test? Simple really - under the ``ANOVA`` → ``Assumption Checks`` option, just click on the ``Homogeneity tests`` checkbox. If we look at the output, shown in :numref:`fig-anova4`, we see that the test is non-significant (F\{2,15} = 1.45, p = 0.266), so it looks like the homogeneity of variance assumption is fine. However, looks can be deceptive! If your sample size is pretty big, then the Levene test could show up a significant effect (i.e., p < 0.05) even when the homogeneity of variance assumption is not violated to an extent which troubles the robustness of ANOVA. This was the point George Box was making in the quote above. Similarly, if your sample size is quite small, then the homogeneity of variance assumption might not be satisfied and yet a Levene test could be non-significant (i.e. p > 0.05). What this means is that, alongside any statistical test of the assumption being met, you should always plot the standard deviation around the means for each group / category in the analysis… just to see if they look fairly similar (i.e. homogeneity of variance) or not. German 0 characters edited Current translation Translated Okay, und wie führen wir den Levene-Test durch? Eigentlich ganz einfach - unter der Option ``ANOVA`` → ``Assumption Checks`` klicken Sie einfach auf die ``Homogeneity tests``-Checkbox. Wenn wir uns die in :numref:`fig-anova4` angezeigte Ausgabe ansehen, sehen wir, dass der Test nicht signifikant ist (F\(2,15) = 1,45, p = 0,266), es sieht also so aus, als ob die Annahme der Homogenität der Varianz erfüllt ist. Doch der Schein kann trügen! Wenn Ihr Stichprobenumfang groß ist, kann der Levene-Test einen signifikanten Effekt aufzeigen (d. h. p < 0,05), selbst wenn die Annahme der Varianzhomogenität nicht in einem Ausmaß verletzt wird, das die Robustheit der ANOVA beeinträchtigt. Dies war der Punkt, den George Box in dem obigen Zitat ansprach. Ähnlich verhält es sich, wenn Ihre Stichprobengröße recht klein ist, dann könnte die Annahme der Varianzhomogenität nicht erfüllt sein, obwohl der Levene-Test nicht signifikant ist (d. h. p > 0,05). Das bedeutet, dass Sie neben jedem statistischen Test auf Erfüllung der Annahme immer auch die Standardabweichung um die Mittelwerte für jede Gruppe / Kategorie in der Analyse darstellen sollten… um zu sehen, ob sie ziemlich ähnlich aussehen (d. h. Varianzhomogenität) oder nicht. yesterday
None String updated in the repository lsjdocs Ch13 German	English \begin{aligned} \mbox{SS}_{b} &=& \sum_{k=1}^G \sum_{i=1}^{N_k} \left( \bar{Y}_k - \bar{Y} \right)^2 \\ &=& \sum_{k=1}^G N_k \left( \bar{Y}_k - \bar{Y} \right)^2\end{aligned} German 0 characters edited Current translation Translated \begin{aligned} \mbox{SS}_{b} &=& \sum_{k=1}^G \sum_{i=1}^{N_k} \left( \bar{Y}_k - \bar{Y} \right)^2 \\ &=& \sum_{k=1}^G N_k \left( \bar{Y}_k - \bar{Y} \right)^2\end{aligned} yesterday
None String updated in the repository lsjdocs Ch13 German	English \mbox{SS}_w = \sum_{k=1}^G \sum_{i=1}^{N_k} \left( Y_{ik} - \bar{Y}_k \right)^2 German 0 characters edited Current translation Translated \mbox{SS}_w = \sum_{k=1}^G \sum_{i=1}^{N_k} \left( Y_{ik} - \bar{Y}_k \right)^2 yesterday
None String updated in the repository lsjdocs Ch13 German	English \mbox{SS}_{tot} = \sum_{k=1}^G \sum_{i=1}^{N_k} \left(Y_{ik} - \bar{Y} \right)^2 German 0 characters edited Current translation Translated \mbox{SS}_{tot} = \sum_{k=1}^G \sum_{i=1}^{N_k} \left(Y_{ik} - \bar{Y} \right)^2 yesterday
None String updated in the repository lsjdocs Ch13 German	English \mbox{Var}(Y) = \frac{1}{N} \sum_{p=1}^N \left(Y_{p} - \bar{Y} \right)^2 German 0 characters edited Current translation Translated \mbox{Var}(Y) = \frac{1}{N} \sum_{p=1}^N \left(Y_{p} - \bar{Y} \right)^2 yesterday

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