The entire population.
A census samples 100% of the population (ie it is not a sample, but the whole population) → the census will ask of 100,000,000 people.
It is the population.
It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
Rarely or ever is the entire population questioned (if the population is small than you will come close sometimes). A sample (often over 1000) is the common practice.
Statistics: Survey of an entire population, as opposed to a sample survey.
A census is a statistical enumeration and analysis of a certain population, be it humans, animals or plants - groups that grow and change over time. A survey can be a tally of opinions or answers. See "Family Feud" when Richard Dawson says, "Survey says...!!!!"
A census aims to collect data from an entire population, while a poll collects data from a sample of the population. A census provides a comprehensive and accurate snapshot of the entire population, while a poll offers insights based on a smaller subset.
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
The sample is a subset of the population. For example, the population may be all the people at your school. A sample might be 5 people from each class. There are different types of sampling methods. The most commonly used is a simple random sample. When your obtain data from the entire population this is called a census.
A population survey, better known as a census, entails the collection of each unit in the population. In sample survey information is collected from a subset of the population. The subset, or sample, needs to be selected carefully so that it is representative of the whole population and, if that requirement is met, statistics based on the sample are good estimators for the corresponding population parameters.
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.
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.)
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).
A population is the collection of all of the units of interest to a researcher. A sample is a subset of this collection that the researcher selects that is typically smaller than the 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
No, it is not true. All that a sample gives you is an estimate about what the distribution might look like in the entire population. If you know what the distribution in the population looks like you have an error free fact and no estimate can better than that. another way to look at that: the bigger a sample gets the better the accuracy of the estimate. The sample cannot be bigger than the population however. The one caveat is in the data collection process. Under certain circumstances a sample may be more precise when data collection is difficult or flawed.