because its faster and then when you use a sample you can easily make accurate predictions about what would/will happen next
A random sample is better than a census because it takes less time and costs less.
You can sample when carrying out a comprehensive census is not feasible for any reason. It may be because a census would require too many resources (including time), be destructive (eg life span of light bulbs).
this is brief, but a census gathers data from the whole group/poulation, wheras a sample investigation on takes a small part of the group/poulation, a sample
Less time and less cost for a sample.
because its faster and then when you use a sample you can easily make accurate predictions about what would/will happen next
A random sample is better than a census because it takes less time and costs less.
You can sample when carrying out a comprehensive census is not feasible for any reason. It may be because a census would require too many resources (including time), be destructive (eg life span of light bulbs).
this is brief, but a census gathers data from the whole group/poulation, wheras a sample investigation on takes a small part of the group/poulation, a sample
Less time and less cost for a sample.
A sample survey is asked of a limited group of people, while a census is conducted in an attempted to get an answer from all people in a geographical area.
A Census is the type of survey for a complete population. A Sample Survey is only a portion of the population which is used to make predictions on the representation of the actual population.
a census is the procedure of systematically acquiring and recording information about all d members of a given population and a sample is a group from d population a census is more thorough and gives accurate information about a population while being more expensive and comsuming time comsuing rather than a sample
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.
Inferential statistics is not required in a census because a census aims to collect data from every individual in a population, leaving no room for sampling error or uncertainty. The goal of a census is to provide an accurate count or measurement of a specific characteristic within a population, making the need for statistical inference unnecessary. In contrast, inferential statistics is used when data is collected from a sample of a population, and the goal is to make predictions or inferences about the larger population based on that sample.
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).