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One-sample hypothesis tests
One-sample hypothesis tests

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...  1 = 2 (equality of means)  1 = 2 (equality of variance)  alternative hypothesis (H1): there is a difference  1  2 (inequality of means)  1  2 (inequality of variance) ...
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Solution to MAS Applied exam May 2015

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a. always equal to the correlation coefficient

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13.1.1 Steps of ANOVAs - University of Northern Colorado

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1. Which of the following can be classified as Discrete

< 1 ... 221 222 223 224 225 226 227 228 >

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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