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basic statistical methods
basic statistical methods

... The purpose of this course is to develop skills in statistical analysis. It is an introductory statistics course, concerning basic methods applicable to any survey of statistics, particularly to urban studies and public health. The material is organized so that it provides the greatest possible flex ...
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Previously, when making inferences about the population mean

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... When we use this “distribution” of x , with standard error instead of standard deviation, and calculate “z – scores”, the distribution shape is no longer the z curve (even if n is more than 30). Rather, we get a curve similar to the z-curve. It is centered at 0, unimodal and symmetric, but it is ta ...
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... sample of patients who are described depressed by a threapist is selected and given the test. Presumably, the higher the score on the inventory is, the more depressed the patient is. The data are as follows: 59, 60, 60, 67, 65, ...
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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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