A representative sample is one where the statistics of the sample are the same as the statistics for the parent population.
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A population survey, better known as a census, entails the collection of each unit in the population. In sample survey information is collected from a subset of the population. The subset, or sample, needs to be selected carefully so that it is representative of the whole population and, if that requirement is met, statistics based on the sample are good estimators for the corresponding population parameters.
The sample mean may differ from the population mean, especially for small samples.
Inferential statistics.
A representative sample is one where the statistics of the sample are the same as the statistics for the parent population.
From a sample of a population, the properties of the population can be inferred.
A population includes all members of a defined group. A sample, on the other hand, is just a part of the population.
The Correlation Coefficient computed from the sample data measures the strength and direction of a linear relationship between two variables. The symbol for the sample correlation coefficient is r. The symbol for the population correlation is p (Greek letter rho).
the sampled population includes all people whom are included in the sample, the targeted population is what the statistics practitioner is targeting or questioning
in statistics a sample is a subset of population..
Descriptive statistics summarize and present data, while inferential statistics use sample data to make conclusions about a population. For example, mean and standard deviation are descriptive statistics that describe a dataset, while a t-test is an inferential statistic used to compare means of two groups and make inferences about the population.
Statistics: Survey of an entire population, as opposed to a sample survey.
Inferential statistics. This branch of statistics involves making inferences or predictions about a population based on data collected from a sample taken from that population.
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The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.
When the sample - whether it is random or systematic - is somehow representative of the population.