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It is more accurate, unbiased and includes every item in the population, whereas sampling may be biased, and sampling is not totally representative.

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Q: Advantages of census over sample survey?

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A sample survey is quicker and cheaper. If the survey is well designed then the results are likely to be close to their true values.

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Less time and less cost for a sample

An example of voluntary response sample would be when a radio talk-show decides to run a call-in survey on a controversial topic, such as gun control. The most likely callers are going to be people with the strongest opinions, thus the sample that results from the survey is going to over-represent those very people.

The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity

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A sample survey is quicker and cheaper. If the survey is well designed then the results are likely to be close to their true values.

Less time and less cost for a sample.

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Less time and less cost for a sample

Actually, a survey is means of getting a sample. Whether you send a questionaire, ask people's opinion or have people give opinions over the interpet, your dataset is a sample or subset of the population.

A census is a worldwide survey that counts all the people in the world and it is taken when 10 years are over

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...!!!!"

The worldÕs population is over 7 billion people based on the last count through the way called census. Census records details of individual to have an official count or a survey of a certain population.

An example of voluntary response sample would be when a radio talk-show decides to run a call-in survey on a controversial topic, such as gun control. The most likely callers are going to be people with the strongest opinions, thus the sample that results from the survey is going to over-represent those very people.

The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity

The population mean is the mean calculated over every member of the set of subjects being studied. It is usually not available and a survey is used to find an estimate for the population mean. The mean value of the variable in question, calculated from only the subjects included in the sample (or survey) is the sample mean. Provided some basic statistical requirements are met, the sample mean is a "good" estimate of the population mean.

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