natgillin/translations-raw huggingface dataset:
In the general statistical sense the quality dimension accuracy denotes as much as it can the difference between estimated and the real population data. 
U opem statistikom smislu dimenzija kvalitete tonost oznaava moguu razliku procijenjenih i stvarnih podataka populacije.
The statistical data are not equal to their real values because of variability (when values change due to random effects, which relate to the errors that occur during the implementation of the statistical survey), and bias (when values change due to the systematic effects, related to the errors that occur during the implementation of statistical survey). 
Statistiki podaci nisu jednaki stvarnim vrijednostima zbog varijabilnosti (kada se vrijednosti mijenjaju zbog sluajnih utjecaja, a odnose se na greške koje se pojavljuju u provedbi ankete) i pristranosti (kada se vrijednosti mijenjaju zbog sustavnih djelovanja, a odnose se na greške koje se pojavljuju u provedbi ankete).
Due to the high costs of carrying out a statistical survey based on the entire population, the required population parameters are estimated on the data collected by sample. 
Zbog velikih troškova provedbe istraživanja na cijeloj populaciji parametri populacije se procjenjuju na temelju podataka prikupljenih na uzorku.
For this reason, in order to evaluate the precision of estimates, it is necessary to calculate the sampling error of estimates from the sample surveys. 
Iz tog razloga, radi ocjene preciznosti procjena, nužno je izraunati uzoraku grešku procjene za istraživanja na uzorku.
The sampling error is the result of the survey of the whole population being conducted on a sample and not on the full coverage. 
Uzoraka greška je rezultat provedbe istraživanja cijele populacije na uzorku, a ne na punom obuhvatu.
The central limit theorem is the fundamental hypothesis of the parametric inferential statistics. 
Središnji granini teorem je temeljna pretpostavka cjelokupne parametarske inferencijalne statistike.
For its application it is necessary that the sample is random and that the observation on each respondent is independent of any other respondent. 
Za njegovu je primjenu nužno da uzorak bude sluajan te da su zapažanja o svakom pojedinom ispitaniku neovisna o zapažanjima o bilo kojemu drugom ispitaniku.
The theorem determines that the mean values of sampling distribution obtained from a large number of random samples will represent a normal distribution regardless the form of the initial population (1). 
Teorem ustvruje da e srednje vrijednosti iz velikog broja izabranih sluajnih uzoraka biti normalno distribuirane bez obzira na oblik ishodišne populacije (1).
The researchers usually take a sample as a subset of the population because it is not possible to measure the entire population. 
Istraživai obino uzimaju samo uzorak kao podskup populacije jer nije mogue mjeriti cijelu populaciju.
For doing that, they do not have either the time or the money. 
Za to nemaju ni vremena ni novca.
Therefore, the researchers cannot select a lot of samples from a target population. 
Iz istih razloga istraživai ne mogu izabrati mnogo uzoraka iz ciljane populacije.
Fundamental for them is to determine the probability that measures of the sample represents accurately the entire population, for which they will do the estimates based on the sample. 
Za njih je stoga osnovno da mogu odrediti vjerojatnost prema kojoj e mjere njihova uzorka pouzdano predstavljati cjelokupnu populaciju, za koju e se zatim raditi procjene temeljene na uzorku.
Determining the representativeness of the samples is based on the theoretical distribution of samples whose behaviour describes the central limit theorem. 
Odreivanje reprezentativnosti odreenog uzorka temelji se na teorijskoj raspodjeli uzoraka ije ponašanje opisuje centralni granini teorem.
The standard error statistics represent the estimation of the interval in which it is possible to estimate the population parameters, and thereby the precision degree in which the sample statistic represents the population parameter. 
Statistika standardne pogreške predstavlja procjene intervala u kojem je mogue procijeniti parametre populacije, a time i stupanj preciznosti u kojem statistika uzorka predstavlja parametar populacije.
When the standard error is lower, the sample statistic is closer to the population parameter. 
Što je standardna pogreška manja, to je statistika uzorka bliža parametru populacije.
The standard error statistics is therefore the standard deviation of the sample distribution for that statistic (3). 
Standardna pogreška statistike je stoga standardno odstupanje distribucije uzorka za tu statistiku (3).
On the other hand, the coefficient of variation is the estimated standard error of the estimator divided by the estimated value of the parameter expressed in relative terms. 
S druge strane, koeficijent varijacije je procijenjena standardna pogreška procjenitelja podijeljena s procijenjenom vrijednošu parametra te je izražen u relativnom smislu.
Since it is expressed as a relative measure, it is much more acceptable for assessing the representativeness of estimates than standard error. 
Budui da se izražava kao relativna mjera, mnogo je zahvalniji za ocjenu reprezentativnosti procjene od standardne pogreške.
The confidence interval is the interval of the actual parameter values with a certain confidence level. 
Interval pouzdanosti je interval stvarnih vrijednosti parametara uz odreenu razinu pouzdanosti.
These are the examples of formula for a simple random sample and for estimate of a population mean. 
Dani su primjeri formula za jednostavan sluajni uzorak i procjenu prosjene vrijednosti populacije.
There are other more complex formulas for calculating sampling errors for the various sample designs and for other estimation types (totals, proportions, median, etc.). 
Naime, postoje i druge složenije formule za izraun uzorake greške za razliite nacrte uzorka te za druge procjene (totala, proporcija, medijana itd.).
The standard error of the estimated mean: 
Standardna pogreška procjene aritmetike sredine:
Coefficient of variation: 
Koeficijent varijacije:
Confidence interval: 
Interval pouzdanosti:
According to the Labour Force Survey, in the fourth quarter of 2012 the estimated unemployment rate amounts 17.98% while the sample variance (ଶ ) was equal to 26% (population variance estimate on the sample). 
Prema Anketi o radnoj snazi, u etvrtom tromjeseju 2012. procijenjena je stopa nezaposlenosti od 17,98% dok je varijanca uzorka (ଶ ) iznosila 26% (procjena varijance populacije na temelju uzorka).
The size of the population is 100,000, and sample 1,000. 
Veliina populacije je 100.000, a uzorka 1.000.
Calculation begins with calculating the sample fraction. 
Postupak izrauna zapoinje utvrivanjem frakcije izbora.
Since the sample is less than 5% of the population, standard error of the estimated mean is equal to: 
Budui da je uzorak manji od 5% populacije standardna greška procjene aritmetike sredine jednaka je:
The confidence interval is equal to: 
Interval pouzdanosti je jednak:
From the results obtained it can be concluded that the average deviation of unemployment rate from its average value equals to 0.16 or 0.89% in relative terms. 
Iz dobivenih rezultata možemo zakljuiti da je prosjeno odstupanje stope nezaposlenosti od njene prosjene vrijednosti 0,16 ili u relativnom iznosu 0,89%.
At the same time in order to improve the precision of estimates the confidence interval was calculated, which shows with 95% reliability the unemployment rate between 17.67% and 18.29%. 
Ujedno je radi poboljšanja preciznosti procjena izraunan i interval pouzdanosti stope nezaposlenosti kojim se uz 95% pouzdanosti procjenjuje da se stopa nezaposlenosti nalazi u intervalu izmeu 17,67% i 18,29%.
Over-coverage rate is the proportion of units in the frame that do not belong to the target population (e.g. companies that are no longer working or doing other economic activity that is not covered by the statistical survey, or the persons from households that have emigrated to another country, or are deceased). 
Stopa nadobuhvata predstavlja udio jedinica iz okvira uzorka koje ne pripadaju ciljanoj populaciji (npr. poduzea koja više ne rade ili koja se bave drugom djelatnošu koja nije pokrivena istraživanjem, ili osobe iz kuanstava koje su se iselile u drugu zemlju ili su preminule).
If the statistical survey is carried out on a sample, the over-coverage rate is estimated on the data collected on sample. 
Ako se istraživanje provodi na uzorku, stopa nadobuhvata se procjenjuje na temelju podataka prikupljenih na uzorku.
If the over-coverage rate is calculated on the basis of sample data either weighted or un- weighted over-coverage rate could be calculated. 
Ukoliko se stopa nadobuhvata rauna temeljem podataka iz uzorka mogu se raunati neutežena i utežena stopa nadobuhvata.
If the research is based on a sample, and each unit in the sample represents a certain number of units in the target population, it is logical to calculate weighted over-coverage rate. 
Ako se istraživanje temelji na uzorku pa svaka jedinica iz uzorka predstavlja odreen broj jedinica u ciljanoj populaciji, logino je raunati uteženu stopu nadobuhvata.
In case that all units in the sample have the same weight, the weights in the process of calculation are ignored and then we talk about calculating of un-weighted over- coverage rates. 
U sluaju da sve jedinice iz uzorka imaju jednaku težinu, težina se u postupku izrauna zanemaruje i tada govorimo o izraunu neutežene stope nadobuhvata.
In addition, there were 194 addresses where either housing unit was not available (due to natural disasters, etc.) or it was not possible to find a housing unit. 
Nadalje, na 194 adrese stambena jedinica nije bila dostupna (zbog elementarnih nepogoda i sl.) ili je nije bilo mogue pronai.
The following example shows the calculation of un-weighted coverage rate (i.e. the rate for address) assuming that all units have the same weight. 
Primjer prikazuje postupak izrauna neutežene stope nadobuhvata (tj. stope za adrese) pod pretpostavkom da sve jedinice imaju istu težinu.
The indicator is calculated as a ratio of units that are not eligible (i.e. empty flats) including units that were not available, with all the units that were selected in the sample. 
Pokazatelj raunamo stavljanjem u omjer jedinica koje nisu valjane (dakle praznih stanova) ukljuujui jedinice koje nisu bile dostupne, sa svim jedinicama koje su izabrane u uzorak.
It could be concluded that 17.06% of all sample frame units does not belong to the target population. 
Zakljuujemo kako 17,06% svih jedinica iz okvira uzorka ne pripada ciljanoj populaciji.
The example shows the calculation of weighted over-coverage rate assuming that all units have their weight, according to the label of eligibility, as specified below. 
Primjer prikazuje izraun utežene stope nadobuhvata pod pretpostavkom da sve jedinice imaju svoju težinu, i to prema oznaci valjanosti jedinice, kako je navedeno u nastavku.
Statuses of the unit eligibility: 1 - valid unit that belongs to the target population 2 - unit that does not belong to the target population (out-of-scope unit) - ineligible unit 3 - unit of unknown eligibility - e.g. housing unit which was not available (due to natural disasters, etc.) or housing unit which was not possible to find. 
Statusi valjanosti jedinice: 1 - valjana jedinica koja pripada ciljanoj populaciji 2 - jedinica koja ne pripada ciljanoj populaciji (jedinice izvan obuhvata) - nevaljane jedinice 3 - jedinica nepoznate valjanosti - npr. stambena jedinica koja nije bila dostupna (zbog elementarnih nepogoda i sl.) ili stambena jedinica koju nije bilo mogue pronai.
The numerator consists of the sum of the weights of all units that for certain reasons are not valid, or it was not possible to make contact with them. 
U brojniku se nalazi suma težina svih jedinica koje iz odreenih razloga nisu valjane ili s njima nije bilo mogue ostvariti kontakt.
Those units were marked in the example by 2 and 3. 
Dakle, to su težine jedinica koje u primjeru imaju oznake 2 i 3.
The denominator contains the sum of the weights for all units in the sample. 
Nazivnik sadrži sume težina svih jedinica iz uzorka.
We conclude that 56.27% of all units from the sampling frame do not belong to the target population. 
Zakljuujemo kako 56,27% svih jedinica iz okvira uzorka ne pripada ciljanoj populaciji.
Depending on the calculation of indicators for a sample or a target population, weighted and un-weighted unit non-response rate can be calculated. 
Ovisno o tome raunamo li pokazatelje za uzorak ili cijelu populaciju, može se izraunati utežena i neutežena stopa neodgovora jedinica.
The unit non-response rate has three basic versions, which are written in the same formula. 
Stopa neodgovora jedinica ima tri osnovne verzije koje su zapisane u istoj formuli.
It is possible to calculate the un- weighted unit non-response rate, weighted unit non-response rate by design weight or weighted unit non-response rate where weights are corrected using auxiliary variable. 
Mogue je raunati neuteženu stopu, uteženu stopu s težinama izbora uzorka (design weight) ili uteženu stopu s korekcijom težina za pomonu varijablu.
As with the over-coverage rate the calculation of response rates will depend on the response status codes allocated in each survey and their consistent allocation including eligible, uneligible and unknown eligibility units. 
Kao i kod stope nadobuhvata, izraun stopa odgovora e takoer ovisiti o unaprijed definiranim standardiziranim statusima odgovora koje pripisujemo svakoj jedinici uzorka dijelei ih tako na valjane, nevaljane jedinice te jedinice nepoznate valjanosti.
The following example shows a survey of six business entities based on which should be calculated un-weighted and weighted unit non-response rate. 
Sljedei primjer prikazuje istraživanje sa šest poslovnih subjekata, na temelju ega treba izraunati neuteženu i uteženu stopu neodgovora jedinica.
Status 1 represents the response, the status 2 non-response and status 3 unit that does not belong to the target population (ineligible unit). 
Status 1 predstavlja odgovor; status 2 neodgovor; status 3 jedinicu koja ne pripada ciljanoj populaciji (jedinica koje nije valjana).
The data on the employment is an auxiliary variable that is known from the Statistical Business Register. 
Podatak o zaposlenima je pomona varijabla koja je poznata iz Statistikog poslovnog registra.
Un-weighted unit non-response rate: 
Neutežena stopa neodgovora jedinica:
Un-weighted unit non-response rate in this example is calculated as a ratio of eligible units that did not respond to the questionnaire with all eligible units, subtracted from one. 
Neutežena stopa neodgovora u ovom primjeru se rauna na nain da se stave u omjer valjane jedinice koje nisu odgovorile na anketu sa svim valjanim jedinicama i oduzmu od jedan.
Thus the obtained result of 40% shows the total number of all units that did not respond to the questionnaire in the whole. 
Dobiveni rezultat od 40% tako pokazuje ukupan broj svih jedinica koje nisu odgovorile na istraživanje u cijelosti.
Unlike the un-weighted unit non-response rate, for the calculation of weighted non- response rate we take in the account the sum of weights of units in a particular set of response/nonresponse and not just number of them. 
Za razliku od neutežene stope neodgovora kod raunanja utežene stope ne uzima se u obzir broj jedinica u pojedinom skupu odgovora/neodgovora ve se zbrajaju njihove težine.
Therefore, by the rate for which the design weights are used, it is enough to subtract the ratio of sum of eligible non- respondent weights and the sum of weights for all eligible units from one. 
Stoga je kod stope gdje se koriste težine izbora uzorka dovoljno od jedan oduzeti omjer sume težina valjanih jedinica neodgovora i težina svih valjanih jedinica.
If you want to get a higher quality indicator, corrected weights, which we get by multiplying design weights by the corresponding amount of an auxiliary variable, can be used. 
Ukoliko se želi dobiti kvalitetniji pokazatelj može se koristiti težine korigirane s pomonom varijablom, na nain da se prije raunanja stope svaka težina jedinice pomnoži sa pripadajuim iznosom pomone varijable.
Item non-response rate is defined as a weighted or un-weighted ratio of the number of in-scope units which did not respond for a particular variable. 
Stopa neodgovora na odreenu varijablu definira se kao uteženi ili neuteženi omjer izmeu jedinica u obuhvatu koje nisu odgovorile na odreenu varijablu.
Generally this is restricted to all of units in-scope that are required to respond to a particular variable. 
Openito, to je ogranieno na sve valjane jedinice od interesa koje moraju odgovoriti na odreenu varijablu.
Item non-response rate has three basic versions that are written in the same formula. 
Stopa neodgovora na odreenu varijablu ima tri osnovne verzije koje su zapisane u istoj formuli.
As well as the unit non-response rate, it is possible to calculate the item non-response rate as an un-weigted rate, weighted rate by design weight, or and weighted rate where weights are corrected using an auxiliary variable. 
Kao i kod stope neodgovora jedinica, mogue je raunati neuteženu stopu, uteženu stopu s težinama izbora uzorka ili uteženu stopu s korigiranim težinama s vrijednostima pomone varijable.
Three basic ways for calculating the rate are: 1. 
Tri osnovna naina izrauna stope jesu: 1.
Un-weighted rate: ‫ݓ‬௝ ൌ ͳ 2. 
Neutežena stopa: ‫ݓ‬௝ ൌ ͳ 2.
Rate weighted by the sample design ଵ weight: ‫ݓ‬௝ ൌ ݀௝ , whereby ݀௝ ൌ as a గೕ sample design weight is a reciprocal of the sample selection probability 3. 
Stopa utežena težinom nacrta uzorka: ଵ ‫ݓ‬௝ ൌ ݀௝ , pri emu je ݀௝ ൌ težina గೕ nacrta uzorka reciprona vrijednost vjerojatnosti izbora 3.
Rate weighted by the unit significance: ‫ݓ‬௝ ൌ ݀௝ ‫ݔ‬௝ , whereby ‫ݔ‬௝ is a value of the variable ܺ. 
Stopa utežena znaajnošu jedinica: ‫ݓ‬௝ ൌ ݀௝ ‫ݔ‬௝ pri emu je ‫ݔ‬௝ vrijednost pomone varijable ܺ.
The value of ܺ is the auxiliary information, often available in the sample frame. 
Vrijednost varijable ܺ je pomona informacija, esto dostupna u okviru.
Examples are turnover for business entities or the total number of inhabitants in the municipality. 
Primjeri su promet za poslovne subjekte ili ukupni broj stanovnika u opini.
The following example represents a statistical survey with eight business entities, based on which should be calculated the un- weighted and weighted item non-response rate, on which are responding the business entities with 10 or more employees. 
Sljedei primjer prikazuje istraživanje s osam poslovnih subjekata, na temelju ega treba izraunati neuteženu i uteženu stopu neodgovora na pojedinu stavku upitnika, na koju odgovaraju poduzea s više od 10 zaposlenih.
Status 1 represents the response on item; status 2 non-response on the whole questionnaire; status 3 unit that does not belong to the target population (in-eligible unit); status 4 item non-response. 
Status 1 predstavlja odgovor na varijablu; status 2 neodgovor na upitnik u cijelosti; status 3 jedinicu koja ne pripada ciljanoj populaciji (nevaljana jedinica); status 4 neodgovor na varijablu.
The data on employees is the auxiliary variable known from the Statistical Business Register prior the survey. 
Podatak o zaposlenima je pomona varijabla koja je poznata iz Statistikoga poslovnog registra prije istraživanja.
Un-weighted item non-response rate: 
Neutežena stopa neodgovora na odreenu varijablu:
Un-weighted item non-response rate is calculated in a way that are placed in the ratio all eligible respondents for the item (status 1) and all eligible units that are required to respond to a variable (status 1 and status 4), then subtracted from one. 
Neutežena stopa neodgovora je izraunana na nain da se od jedan oduzeo omjer valjanih jedinica koje su odgovorile na varijablu (status 1) i valjanih jedinica od kojih se zahtijevalo da odgovore na varijablu (status 1 i status 4).
Weighted item non-response rate where weights are corrected using auxiliary variable: 
Utežena stopa neodgovora na odreenu varijablu s korekcijom težina za pomonu varijablu:
Unlike the un-weighted item non-response rate, for the calculation of weighted item non- response rate we take in the account the sum of weights of units in a particular set of response/nonresponse and not just number of them. 
Za razliku od neutežene stope neodgovora na odreenu varijablu kod raunanja utežene stope ne uzima se u obzir broj jedinica u pojedinom skupu odgovora/neodgovora ve se zbrajaju njihove težine.
So, here it is necessary to subtract from one ratio of sum of all eligible non- respondents weights to a particular variable (item) and sum of all eligible units required to respond to this particular item. 
Dakle, ovdje je potrebno staviti u omjer sumu težina valjanih jedinica neodgovora na varijablu i svih valjanih jedinica od kojih se zahtijevao odgovor, umanjeno od jedan.
If you want to get a higher quality indicator, we can use corrected weights, which we get by multiplying design weights by the corresponding amount of an auxiliary variable, and then the weights are summed. 
Ako se koristi utežena stopa neodgovora na odreenu varijablu s korekcijom težina, težina svake jedinice se množi sa korekcijskim faktorom (iznosom pomone varijable), a tek zatim se težine zbrajaju.
In the following example, the item non- response in the questionnaire is briefly analysed for SILC 2010. 
U iduem primjeru ukratko je analiziran neodgovor na pojedinu varijablu upitnika za ADS 2010.
In the following table, a brief overview of the non-response to a particular item in the questionnaire regarding some basic income variables can be shown. 
U tablici možemo vidjeti kratak pregled neodgovora na pojedinu varijablu upitnika nekih od osnovnih varijabli dohotka.
In order to analyse this type of non-sampling error, percentages of households that have received specific income and percentages of households with missing data or with partial information, are calculated in the table. 
Za tablicu su se, radi analize tog tipa neuzorake greške, izraunali postoci kuanstava koja su primila odreene iznose dohotka te postoci kuanstava s nedostajuim vrijednostima ili sa samo djelominim informacijama.
The percentages were calculated as follows: 
Navedeni postoci raunali su se na sljedei nain:
The variables that refer to the different income components are sorted in the table using dropdown order by percentage of missing values or, in other words, the percentage of non-response for specific item of the column of the questionnaire. 
Varijable koje se odnose na razliite komponente dohotka iz tablice sortirane su u padajuem redoslijedu prema postotku nedostajuih vrijednosti ili, drugim rijeima, postotku neodgovora na pojedinu stavku upitnika.
Two ways for calculating the imputation rate and thereby two types of imputation rate are distinguished. 
Razlikujemo dva naina izrauna stope imputacije, a time i dvije vrste stope.
The un-weighted imputation rate for variables is defined as ratio of units for which the variable is imputed and total number of units for which the value of the variable is remained unchanged or imputed. 
Neutežena stopa imputacije za varijable je omjer broja jedinica za koje je varijabla imputirana i ukupnog broja jedinica za koje je vrijednost varijable ostala nepromijenjena ili imputirana.
The weighted imputation rate represents the relative contribution to the statistical data of the imputed values, usually for quantitative variables. 
Utežena stopa pokazuje relativni doprinos statistikim podacima od imputiranih vrijednosti, obino za kvantitativne varijable.
For qualitative variables the relative contribution is based on the number of units with an imputed value on qualitative variable. 
Za kvalitativne varijable, relativni doprinos temelji se na broju jedinica s imputiranim vrijednostima za kvalitativnu varijablu.
Based on the data from the hypothetical example, weighted and un-weighted imputation rates are calculated. 
Na temelju podataka iz hipotetskog primjera izraunana je utežena i neutežena stopa imputacije.
Un-weighted imputation rate: 
Neutežena stopa imputacije: