Yes.
A sample only provides data from some of the population and is then extrapolated to the whole population; this assumes that the sample is taken equally from all possible datum points across the population - this cannot be guaranteed.
A census provides data from all of the population so it is 100% as accurate as the data reading - whether the data collected is accurate or not depends upon what the data is and how it is obtained.
Sampling is more appropriate than a census when it is not possible or feasible to collect data from an entire population due to time or resource constraints. Sampling allows researchers to make inferences about the population with less cost and effort, as long as the sample is selected carefully to be representative of the population.
When a good approximation for a variable is required relatively cheaply and quickly.
Yes, it is.
Survey sampling involves selecting a representative subset of the population, which can be more practical and cost-effective than surveying the entire population in a census. Proper sampling techniques can still provide accurate and reliable results, as long as the sample is chosen correctly and is representative of the population of interest.
A census is more accurate than a sample survey because it aims to collect data from an entire population, leaving no room for sampling error. However, conducting a census can be costly and time-consuming, while a sample survey is more practical for large populations.
According to Census 2000, Spanish was spoken more than any other language group in all regions of the United States.
The year 2008 was not a censal year. The census of population was conducted last August 2007. The census result showed that there were more than 88,574,614 Filipinos in 2007. From this figure, the National Statistics Office projected the 2008 population of the Philippines to be more than 90,460,000.
No, the census of 1920 showed that for the first time in U.S. history, more Americans lived in urban areas than in rural areas. The shift from rural to urban living reflected the ongoing industrialization and urbanization of the country.
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%).
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
Describe how more complex probability sampling techniques could provide samples more representative of a target population than simple random sampling Illustrate your answer with an information technology example.
the census determines the nuber of rep.s for house.
Total Enumeration Sampling Design is a method used in research and typically doesn't have one specific author. It is a technique that involves studying and analyzing an entire population rather than a sample. It is commonly used in fields such as epidemiology and census studies.
(1) A sample may save money (as compared with the cost of a complete census) when absolute precision is not necessary. (2) A sample saves time, when data are desired more quickly than would be possible with a complete census. (3) A sample may make it possible to concentrate attention on individual cases. (4) In industrial uses, some tests are destructive (for example, testing the length of time an electric bulb will last) and can only be performed on a sample of items. (5) Some populations can be considered as infinite, and can, therefore, only be sampled. A simple example is an agricultural experiment for testing fertilizers. In one sense, a census can be considered as a sample at one instant of time of an underlying causal system which has random features in it. (6) Where non-sampling errors are necessarily large, a sample may give better results than a complete census because non-sampling errors are easier to control in smaller-scale operations
becuase it is more accurate.
no
More than 200 crores(census- 2011)
The last US census carried out in 2010 was the 23rd US census to have been carried out. The census found that the population of the US was 308,745,538. This was the first census to record a population of more than 300 million.
Survey sampling involves selecting a representative subset of the population, which can be more practical and cost-effective than surveying the entire population in a census. Proper sampling techniques can still provide accurate and reliable results, as long as the sample is chosen correctly and is representative of the population of interest.