The target population contains members of a group that a researcher is interested in studying. The results of the study are generalized to this population, because they all have significant traits in common.
> Know MoreThe "sample" is different. This is the actual group from which data is collected. It is a subset of the population and should be a typical representation of the larger group. Depending upon the size and type of the population and the type of study, different methods are available to help identify a fair sample, such as random sampling and matched sampling. Populations and samples do not need to be humans. Research can collect information on a wide range of subjects, including animals, plants and manufactured goods.
Learn more in StatisticsThe Hardy-Weinberg equations calculate the genetic variation and allele frequencies of a population at equilibrium. They are p + q = 1 and p^2+ 2pq + q^2 = 1 where p is the frequency of the "A" allele and q is the allele frequency for the "a" allele.
Full Answer >Sampling distribution is defined as the probabilities ascribed to statistics when pulled at random from a population. Sampling distribution of statistics can take the form of either probability distribution or probability density function. Sampling distribution is used primarily in statistics, and may be paired with other mathematical operations to solve problems.
Full Answer >Sampling, in statistics, is a method of answering questions that deal with large numbers of individuals by selecting a smaller subset of the population for study. One of the most prevalent types of sampling is random sampling.
Full Answer >Statistics play an important role in research of almost any kind because they deal with easily-quantified data. When working in fields such as science or medicine, trials are needed, and experimental data has to be collected and analyzed. The study of statistics enables researchers to look at a large set of data and condense it into meaningful information.
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