A survey is used more often than a census because a census requires everybody to respond, while a survey only needs a few people. This means a survey is advantageous for many reasons:
its better because we often don't have to survey a large population, so a sample is quicker, easier, requires few ressources, little time and can be more accurate if a person is not there to answer it because a sample could represent that person.
The rising amount of multiracial people caused the census bureau to allow this in order to better understand the population.
Surveys are quick and census is more accurate.
The answer will depend on what period of time they make 250k over. It also depends on what units you use for 250k - pennies?
Traversing survey involves measuring distances and angles between survey points to establish control networks, typically using linear measurements and compass or theodolite readings. Triangulation survey, on the other hand, relies on the principle of triangulation to determine the positions of points by measuring the angles of a triangle formed by sighting distant landmarks. Triangulation surveys are more accurate over long distances and are commonly used in geodetic surveys, while traversing surveys are more suitable for smaller-scale projects and local mapping.
becuase it is more accurate.
A sample survey may be preferable than a census because it can be more comprehensive. While its research only involves a subset, it is typically more accurate.
According to census of 2007, there were 3,79,042 Christians. I dont think they have done any survey after this. But it is rapidly growing. So maybe by now its around 5 lakhs or more.
The census surveys all members of the population. If the objective of the survey is to find representative values of certain attributes, say how much does the average fisherman make in Alaska, then certainly a survey that includes all fisherman should be more accurate. If all members of the population are surveyed, then the resultant summary values would be considered parameters rather than statistics. For example:no statistical inference is made if I state there are 1,000 fisherman in Alaska, and a tally of all of them, shows their average income is $20,000. I can say that a census should be more accurate than a sample survey, provided all other factors are the same and precautions are taken to obtain reliable data. A census conducted in a biased manner will not provide accurate parameters.
Researchers define a "population" which consists of elements with defined characteristics. Example: All the matriculating students at Providence College. If the researcher studies the entire population as defined above, it is called a "census". If, on the other hand, the researcher takes a subset of the population, a sample, and studies it it will be a sample survey (or study in more general terms.)
Federal census is taken every 10 years. Some regional census polls are taken more often, but the law is for every 10 years.
its better because we often don't have to survey a large population, so a sample is quicker, easier, requires few ressources, little time and can be more accurate if a person is not there to answer it because a sample could represent that person.
It is more accurate, unbiased and includes every item in the population, whereas sampling may be biased, and sampling is not totally representative.
A sample is a portion and a census measures absolutely everyone in the whole country. A representative sample measures a small number of people who fit a particular category of people: surveying 200 white male smokers between 20 and 40 who have had surgery for throat cancer (out of a total number of say 35,000 men who fit that profile).
This is a survey question. I think this is answerable with "Television, Newspaper, etc." And i dont think you can find more answers on the net. Its a survey, no one shares there answer on a web.
Only in terms of cost, time to complete, resources-those kinds of measures. A census provides complete information if done properly which is not possible with just a sample. A sample is always subject to sampling error.
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.