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chapter 5. a population mean, confidence intervals and hypothesis
chapter 5. a population mean, confidence intervals and hypothesis

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... or disbelieving a true statement)? – Again, the answer is typically already in the manager’s head. • What does the relevant data tell us? – The answer is typically not originally in the manager’s head. The goal of hypothesis testing is to put it there, in the simplest possible terms. • Then, the job ...
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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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