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MATH 1342Summer 1 - HCC Learning Web
MATH 1342Summer 1 - HCC Learning Web

Confidence intervals Let θ be a population parameter of interest
Confidence intervals Let θ be a population parameter of interest

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Statistical Testing - University of Warwick

... • Is the sample mean sufficiently different from the suggested population mean that it is implausible that the suggested population mean is correct? Testing the plausibility of a suggested population mean (via a z-test). [This is what we’ve just done]. • Are the means from two samples sufficiently d ...
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Non-parametric tests File
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Repeated Measures ANOVA

... effective relaxation technique(s) for stress reduction. 20 members of his stress management group participate in the study. The heart rate of each participant is monitored during each of five conditions. Each participant experienced all five conditions during the same session to control for variatio ...
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...  Is n large? If it is, then the CLT verifies that the distribution of x-bar is approximately normal.  If n is not large, then we need to examine the data. If the histogram or boxplot of the data is symmetric with no outliers (or the normal probability plot is linear), it is plausible to assume tha ...
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Common Definitions from Statistics 210
Common Definitions from Statistics 210

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Oct 2008 - UBC Zoology

< 1 ... 184 185 186 187 188 189 190 191 192 ... 229 >

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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