The sample mean will seldom be the same as the population mean due to sampling error. See the related link.
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.
Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.
That the key characteristics of the population are reflected in the sample.
From a sample of a population, the properties of the population can be inferred.
A sample is a subset of the population.
A random sample is a sample (subset of the population) where each member of the population has an equal chance of being sampled. See related links.
There are Goodness-of-Fit tests that can be used. The choice of test will depend on what is known about the population and sample data.
The sample mean will seldom be the same as the population mean due to sampling error. See the related link.
A Sample
A sample is a subset of the population.
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 sample is a subset of the population.
Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.
It is not a sample. A sample must be a proper subset of the whole population.
A representative sample is one where the statistics of the sample are the same as the statistics for the parent population.
That the key characteristics of the population are reflected in the sample.