When comprehensive information is required. It may also be the better option if the characteristic of interest is important but very rare. In such a case, a sample may give an underestimate.
When comprehensive information is required. It may also be the better option if the characteristic of interest is important but very rare. In such a case, a sample may give an underestimate.
When comprehensive information is required. It may also be the better option if the characteristic of interest is important but very rare. In such a case, a sample may give an underestimate.
When comprehensive information is required. It may also be the better option if the characteristic of interest is important but very rare. In such a case, a sample may give an underestimate.
census is conducted for group data so if it is a sampling data is taken it would lead to lot of non sampling errors
Less time and less cost for a sample.
A census would get data from 100% of the population (or at least close to 100%). Sampling would be to get data from some of the population (much less than 100%).
Sampling can be more accurate than a census as there is greater control of interviewers and less chances of mistakes being made as the data is collated
A questionnaire has little to do with sampling technique. Sampling technique is to do with who gets the questionnaire and that can be any sampling technique: the questionnaire can be sent to everyone (census), to a random sample, stratified random samples, to random samples in clusters, by quota or convenience. Or a pile of questionnaires can be left for respondents to pick up - self-selection.
Less time and less cost for a sample
boobs
census is conducted for group data so if it is a sampling data is taken it would lead to lot of non sampling errors
It is more accurate, unbiased and includes every item in the population, whereas sampling may be biased, and sampling is not totally representative.
Sapling? Sampling??
Less time and less cost for a sample.
The main difference between sampling and census is that in sampling, a subset of the population is selected and studied to make inferences about the entire population, while in a census, data is collected from every individual or element in the population. Sampling is more cost-effective and less time-consuming compared to a census, which requires resources to collect information from every unit in the population.
A census would get data from 100% of the population (or at least close to 100%). Sampling would be to get data from some of the population (much less than 100%).
basically it is cheaper than other methods so it is preferred over other methods.
There are several advantages of sampling over census (i.e. selection of wholepopulation for analysis).Firstly, the costs on sampling should be much lower than that on census. For example,for the government by-census (note: population census is usually conducted onceevery ten years and a by-census is conducted in the middle of the intercensal period),one fifth of the population is large enough to declare what the government wants toknow. There is no need to spend several times of dollars to interview the entirepopulation in the society.Secondly, a quality guru (Deming, 1960) argued that the quality of a study was oftenbetter with sampling than with a census. He suggested that, "Sampling possesses thepossibility of better interviewing(testing), more thorough investigation of missing,wrong , or suspicious information, better supervision, and better processing than ispossible with complete coverage". Research findings substantiate this opinion. Morethan 90% of survey error in one study was from non-sampling error1, and 10% or lesswas from sampling error2. (Donald et al., 1995)Thirdly, sampling can save the time. The speed of execution reduces the time betweenthe recognition of a need for information and the availability of that information.1 Non-sampling error is the error of research due to factors other than the sample size and samplingmethod, including non-response, bad communication with interviewees, measurement error, etc.2 Sampling error is the error during research due to the sample size and sampling method.
Sampling can be more accurate than a census as there is greater control of interviewers and less chances of mistakes being made as the data is collated
Margaret Gurney has written: 'Sampling applications of the 1970 census publications, maps, and public use summary files' -- subject(s): Census, 19th, 1970, Sampling (Statistics)