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When we think of the term "population," we usually think of people in our town, region, state or country and their respective characteristics such as gender, age, marital status, ethnic membership, religion and so forth. In statistics the term "population" takes on a slightly different meaning. The "population" in statistics includes all members of a defined group that we are studying or collecting information on for data driven decisions.
A part of the population is called a sample. It is a proportion of the population, a slice of it, a part of it and all its characteristics. A sample is a scientifically drawn group that actually possesses the same characteristics as the population - if it is drawn randomly.(This may be hard for you to believe, but it is true!)
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What will happen if the sample you have drawn from the population does not represent 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.
Is the data is sample or population?
Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.
What does it mean for a sample to representative of a population?
That the key characteristics of the population are reflected in the sample.
What is the relationship between sample and population?
From a sample of a population, the properties of the population can be inferred.
What is the difference between the sample of the population and the average of the population?
A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.
