Because it would usually be prohibitively expensive and time consuming to collect information from every single member of the population and because the law of large numbers is sufficiently robust to allow most characteristics of a population to be measured with sufficient accuracy from a sample.
sample is the population we make our study about them.
When there is an equal chance for each member of the population to be selected for participation in a study, the sample is considered to be a random sample. This method helps ensure that the sample is representative of the population, reducing bias and allowing for more generalizable results. Random sampling is a fundamental principle in statistical research techniques.
It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.
A group of randomly selected subjects for a study that represents the population based on important characteristics such as age and sex is called a "sample." This sample should ideally reflect the demographics of the larger population to ensure that the study's findings are valid and generalizable. Proper sampling techniques help minimize bias and enhance the reliability of the study results.
When selecting a sample for a study, consider the target population to ensure it accurately represents the characteristics you want to investigate. Additionally, think about the sample size, as a larger sample can improve the reliability and validity of the results. It's also essential to consider sampling methods (random, stratified, etc.) to minimize bias and ensure that the sample reflects the diversity of the population. Lastly, ethical considerations, such as informed consent and confidentiality, should be taken into account.
sample is the population we make our study about them.
The subset of the population chosen by the investigator for a study is known as the sample. Sampling involves selecting a smaller group of individuals from a larger population to make inferences or generalizations about the broader population. The goal is for the sample to be representative of the population so that findings from the study can be applied more broadly.
population
A sample needs to be random and if not a simple random sample of the whole population then a stratified random sample (there are different ways to stratify). Otherwise the study is a waste of time.
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The unit of analysis that most sociologists study are samples. Samples portray the characteristics of the larger population from which the samples are taken.Reference:Vissing, Y. (2011). Introduction to Sociology. San Diego, CA: Bridgepoint Education, Inc.
It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.
sociologists
They both study things.
A sample is a subset of a population that is selected for research or analysis. It represents a smaller group that is studied to make inferences about the larger population. A sampling frame, on the other hand, is a list of all the elements in the population from which the sample is drawn. It serves as the source from which the sample is selected and should ideally include all members of the population.