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.
a random sample
every person in the population has the same chance of being selected.
Random Sampling.
When individuals are selected by chance as a sample, they are part of a random sample. This method ensures that each member of the population has an equal opportunity to be included, which helps to reduce bias and enhances the generalizability of the results. Random sampling is a fundamental technique in statistical research, allowing for more reliable conclusions to be drawn about the broader population.
The best way to reduce sampling error is to use random sampling in the study. This means selecting the population to study through a random process. This will ensure that each member of the population under study has an equal chance of being selected.
Random Sample
random.
a random sample
Systematic sampling
every person in the population has the same chance of being selected.
It means that the every element in a population has an equal chance of being selected to be in the sample which is studied. Equivalently, in considering a sample of a particular size, every possible sample of that size has the same chance of being selected.
Simple random sampling.
In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.
Random Sampling.
Sample. A random sample ensures that everyone or thing has a proportionally equal chance of being picked. The idea is that the sample should be representative of the whole population.
random sample
No, that would be a random sample.