random
The sampling error is the error one gets from observing a sample instead of the whole population. The bigger it is, the less faith you should have that your sample represents the true value in the population. If it is zero, your sample is VERY representative of the population and you can trust that your result is true of the population.
False
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.
In statistics it is a random sample
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
The term is "representative sample." It is a subset of a population that accurately reflects the characteristics of the whole population it is meant to represent.
It is not a sample. A sample must be a proper subset of the whole population.
A representative sample accurately reflects the characteristics of the population it is drawn from. This means that the sample is chosen in a way that each member of the population has an equal chance of being included in the sample, which helps to ensure that the findings can be generalized back to the population.
A sample is a randomly-selected group chosen to represent a larger population for research or analysis. Sampling aims to provide insight into the characteristics and behaviors of the entire population based on the traits observed in the sample. It is an essential method in statistics and research to draw conclusions about a larger group based on a subset of its members.
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
specimen
A sample that accurately reflects the characteristics of the population as a whole
random sample or probability sample
sample
Information obtained from the sample can be extrapolated to the whole population using statistics.