Answer:
In statistics, a population refers to all the members of a group of people or things. A population can be large or small depending on what you are interested in studying.
A parameter is data that describes the entire population, while a statistic is data that describes a sample of that population.
A sample is a part, or a subset, of a population.
With a well-designed study, a sample statistic may provide an accurate estimate of a population parameter.
Explanation:
In statistics, a population refers to all the members of a group. A population can be large or small depending on what you are interested in studying. For example, a population could be “all the residents of Germany”—which in 2017 was estimated to be about 83 million people—or “all the freshman in a certain high school”—which can range from a single person to a couple thousand depending on the school.
And though you may have heard the term “population” in reference to people, a population can refer to other groups of things as well. For example, you may be interested in studying the population of birds that live near a certain beachside area, or the balloons produced by a specific manufacturer.
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