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.
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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.
A census collects data from every member of a population, while a sample survey collects data from a subset (sample) of the population. A census provides a complete count and is more accurate, but requires more resources and time. A sample survey is faster and more cost-effective, but has a margin of error as it extrapolates findings from a smaller group to represent the larger population.
A census aims to collect data from every member of a population, while a sample survey collects data from a subset (sample) of the population. A census provides accurate and precise information for the entire population, while a sample survey estimates characteristics of the population based on the sample. A census can be time-consuming and costly, while a sample survey is more practical for large populations and can still provide valuable insights with less resources.
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.
The sample size of a survey refers to the number of individuals selected to participate in the survey. It is crucial in determining the reliability and accuracy of the survey results. A larger sample size generally leads to more statistically significant results.
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.