lsjdocs - Ukrainian @ Hosted Weblate

Component	Translated	Unfinished	Unfinished words	Unfinished characters	Untranslated	Checks	Suggestions	Comments
Start CC-BY-SA-4.0		0	0	0	0	0	0	0

Rollout CC-BY-SA-4.0		0	0	0	0	0	0	0

Ch01 CC-BY-SA-4.0	27%	87	4,127	24,590	87	0	0	0

Ch04 CC-BY-SA-4.0	20%	192	9,487	55,746	192	0	0	0

Ch05 CC-BY-SA-4.0	1%	58	3,104	18,219	58	0	0	0

Ch06 CC-BY-SA-4.0	21%	150	6,126	36,055	150	0	0	0

Ch07 CC-BY-SA-4.0	30%	140	9,022	52,926	140	0	0	0

Ch08 CC-BY-SA-4.0	25%	185	11,329	67,482	185	0	0	0

Ch09 CC-BY-SA-4.0	8%	199	12,572	73,120	199	0	0	0

Ch10 CC-BY-SA-4.0	46%	214	11,720	69,346	214	0	0	0

Ch11 CC-BY-SA-4.0	21%	276	14,866	89,330	276	0	0	0

Ch12 CC-BY-SA-4.0	19%	309	15,265	92,168	309	0	0	0

Ch13 CC-BY-SA-4.0	31%	272	12,202	73,833	272	0	0	0

Ch14 CC-BY-SA-4.0	28%	361	22,542	133,097	361	0	0	0

Ch15 CC-BY-SA-4.0	10%	235	9,018	55,687	235	0	0	0

Ch16 CC-BY-SA-4.0	21%	156	8,619	50,735	156	0	0	0

Ch17 CC-BY-SA-4.0	6%	41	5,957	35,013	41	0	0	0

Glossary lsjdocs CC-BY-SA-4.0		0	0	0	0	0	0	0

Other CC-BY-SA-4.0	72%	39	4,567	26,158	39	0	0	0

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	Ukrainian
Language code	uk
Text direction	Left to right
Number of speakers	24,018,513

8 hours ago

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		3,975		165,277		985,499
Translated	26%	1,061	2%	4,754	3%	31,994
Needs editing	0%	0	0%	0	0%	0
Read-only	0%	0	0%	0	0%	0
Failing checks	0%	0	0%	0	0%	0
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	73%	2,914	97%	160,523	96%	953,505

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165 k

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3,975

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26%

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Trends of last 30 days

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None Resource updated lsjdocs Ch08 Ukrainian	The “`uk/LC_MESSAGES/Ch08.po`” file was changed. 3 months ago
None String added in the repository lsjdocs Ch08 Ukrainian	English This is an unbiased estimator of the population variance σ². Moreover, this finally answers the question we raised in :doc:`../Ch04/Ch04_Descriptives_2`. Why did jamovi give us slightly different answers for variance? It’s because jamovi calculates :math:`\hat\sigma^2` not s\², that’s why. A similar story applies for the standard deviation. If we divide by N - 1 rather than N our estimate of the population standard deviation becomes: Ukrainian 0 characters edited Current translation Empty 3 months ago
None Resource updated lsjdocs Ch04 Ukrainian	The “`uk/LC_MESSAGES/Ch04.po`” file was changed. 3 months ago
None String added in the repository lsjdocs Ch04 Ukrainian	English Evidently there were three drugs: a ``placebo``, something called ``anxifree`` and something called ``joyzepam``, and there were 6 people administered each drug. There were 9 people treated using cognitive behavioural therapy (``CBT``) and 9 people who received no psychological treatment (``no.therapy``). And we can see from looking at the ``Descriptives`` of the ``mood.gain`` variable that most people did show a mood gain (mean = 0.88), though without knowing what the scale is here it’s hard to say much more than that. Still, that’s not too bad. Overall I feel that I learned something from that. Ukrainian 0 characters edited Current translation Empty 3 months ago
None String added in the repository lsjdocs Ch04 Ukrainian	English Since the previous paragraph might sound a little abstract, let’s go through the mean absolute deviation from the mean a little more slowly. One useful thing about this measure is that the name actually tells you exactly how to calculate it. Let’s think about our AFL winning margins data, and once again we’ll start by pretending that there are only 5 games in total, with winning margins of 56, 31, 56, 8 and 32. Since our calculations rely on an examination of the deviation from some reference point (in this case the mean), the first thing we need to calculate is the mean, X̄. For these five observations, our mean is X̄ = 36.6. The next step is to convert each of our observations X\ :sub:`i` into a deviation score. We do this by calculating the difference between the observation X\ :sub:`i` and the mean X̄. That is, the deviation score is defined to be X\ :sub:`i` - X̄. For the first observation in our sample, this is equal to 56 - 36.6 = 19.4. Okay, that’s simple enough. The next step in the process is to convert these deviations to absolute deviations, and we do this by converting any negative values to positive ones. Mathematically, we would denote the absolute value of -3 as \\|-3\\|, and so we say that \\|-3\\| = 3. We use the absolute value here because we don’t really care whether the value is higher than the mean or lower than the mean, we’re just interested in how close it is to the mean. To help make this process as obvious as possible, the table below shows these calculations for all five observations: Ukrainian 0 characters edited Current translation Empty 3 months ago
None String added in the repository lsjdocs Ch04 Ukrainian	English The first piece of notation to introduce is N, which we’ll use to refer to the number of observations that we’re averaging (in this case N = 5). Next, we need to attach a label to the observations themselves. It’s traditional to use X for this, and to use subscripts to indicate which observation we’re actually talking about. That is, we’ll use X\ :sub:`1` to refer to the first observation, X\ :sub:`2` to refer to the second observation, and so on all the way up to X\ :sub:`N` for the last one. Or, to say the same thing in a slightly more abstract way, we use X\ :sub:`i` to refer to the i-th observation. Just to make sure we’re clear on the notation, the following table lists the 5 observations in the ``afl.margins`` variable, along with the mathematical symbol used to refer to it and the actual value that the observation corresponds to: Ukrainian 0 characters edited Current translation Empty 3 months ago
None Resource updated lsjdocs Ch14 Ukrainian	The “`uk/LC_MESSAGES/Ch14.po`” file was changed. 3 months ago
None String added in the repository lsjdocs Ch14 Ukrainian	English etc. Ukrainian 0 characters edited Current translation Empty 3 months ago
None String added in the repository lsjdocs Ch14 Ukrainian	English The difference in ``mood.gain`` for people treated with ``CBT`` and people given ``no.therapy``. Ukrainian 0 characters edited Current translation Empty 3 months ago
None String added in the repository lsjdocs Ch14 Ukrainian	English The difference in ``mood.gain`` for people given ``anxifree`` versus people given ``joyzepam``. Ukrainian 0 characters edited Current translation Empty 3 months ago

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