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Unformatted text preview: Statistical Inference • Statistical Inference draws conclusions about a population on the basis of sample data. We sample a population and then based on that sample attempt to infer something about the entire population. • Examples of parameter estimation: – Estimate the proportion of the voting population that is in favor of a certain bill. – Estimate the average fill in a 16 oz bottle of Pepsi. – Estimate the average life of a light bulb. as an Estimate of p • We use a statistic , calculated from a random sample, to estimate a population parameter . • We know that the value of a statistic will change upon repeated samplings of the same population. While we don’t know what the value of the next statistic will be, we do know the overall pattern of the values if we sample many times. • If we are using to estimate p, what is the overall pattern of the values? p ˆ p ˆ p ˆ Sampling Distribution of p ˆ True value of p Any individual value of will tell us “about” what p is equal to, but not exactly....
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This note was uploaded on 02/16/2011 for the course STAT 110 taught by Professor Johnson during the Spring '07 term at South Carolina.
 Spring '07
 JOHNSON
 Statistics

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