The sample is a subset of the population.
For example, the population may be all the people at your school. A sample might
be 5 people from each class.
There are different types of sampling methods. The most commonly used is a simple random sample. When your obtain data from the entire population this is called a census.
Information obtained from the sample can be extrapolated to the whole population using statistics.
A sample is a subset of the population.
The sample is a subset of the population.
It is not a sample. A sample must be a proper subset of the whole population.
The alternativehypothesis (Ha or H1) describes the population parameters that the sample data represent, if the predicted relationship exists. It is always the hypothesis of difference. That is as opposed to the null hypothesis (H0) that describes the population parameters that the sample data represent if the predicted relationship does not exist. See Basic Statistics of the Behavioral Sciences by Heiman.
From a sample of a population, the properties of the population can be inferred.
Information obtained from the sample can be extrapolated to the whole population using statistics.
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
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.
A sample is a subset of 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.
The alternativehypothesis (Ha or H1) describes the population parameters that the sample data represent, if the predicted relationship exists. It is always the hypothesis of difference. That is as opposed to the null hypothesis (H0) that describes the population parameters that the sample data represent if the predicted relationship does not exist. See Basic Statistics of the Behavioral Sciences by Heiman.
A representative sample is one where the statistics of the sample are the same as the statistics for the parent population.