Understanding Statistics and Parameters for Students

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A statistic is defined as a calculation derived from a sample, while a parameter refers to a characteristic of the entire population from which the sample is drawn. The sample mean serves as an example of a statistic that estimates the population mean, which is the corresponding parameter. As the sample size increases, the statistic tends to converge towards the parameter. This distinction is crucial for understanding statistical analysis. The discussion clarifies the relationship between statistics and parameters effectively.
danago
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Hey. I just wanted to clear something up. My texbook often refers to statistics and parameters. Is a statistic simply a calculation made on a sample, whereas a parameter is a property of the whole property from which the sample was taken?

Thanks in advance,
Dan.
 
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Yeah, basically. A common definition of "statistic" is "a function of a sample/observation." A parameter is a property of the underlying population distribution. For example, the sample mean is a statistic which, as the sample becomes large, approaches the population mean, which is a parameter.
 
yep ok that answers my question :smile: thanks
 
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