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Unformatted text preview: A sample is simply a subset of a larger population. For example, the set of students in your statistics class is a sample from the population of all students taking statistics in the world. 1.10 When we use summaries of sample data as if they are actually summaries of a population, we have made a statistical inference which will almost certainly be incorrect; we cannot expect our summary of the sample data to have the same value as the summary of the population data. Given that there will be some error in making the inference, we need to know how close our inference comes to being correct. Without a measure of the inferences reliability (margin of error is one measure of reliability), we have no way of knowing how close our inference is to the truth....
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This note was uploaded on 12/07/2011 for the course MATH 201 taught by Professor Crissinger during the Fall '08 term at University of Delaware.
 Fall '08
 CRISSINGER
 Statistics, Inferential Statistics

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