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Chapter 24 Powerpoint - peacock
Chapter 24 Powerpoint - peacock

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Dominion Training Survey

... • P-value= 1.26E-13, almost 0 • Knowledge after = knowledge before (0.43) + 5.53 ...
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... Standard method for evaluation: stratified ten-fold cross-validation Why ten? Extensive experiments have shown that this is the best choice to get an accurate estimate  There is also some theoretical evidence for this ...
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Theories - the Department of Psychology at Illinois State University

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Chapter 3 Experiments with a Single Factor: The Analysis

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... 10) State parameter or statistic for each of the following variables and write the symbol associated with it. a) mean weight of all high school students b) standard deviation of weights of 20 high school students at North c) proportion of “odds” rolled on a fair six-sided dice 11) Comment on the fol ...
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resampling using excel in teaching statistics

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... single sample t-distribution. We will use the t-interval or the t-test on this list of differences depending on the question.  When we interpret our confidence interval or make our conclusion we will be talking about the “mean of the ...
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Roxy Peck`s collection of classroom voting questions for statistics

... 2. The method used to construct the interval will produce an interval that includes the value of the population proportion about 90% of the time in repeated sampling. 3. If 100 different random samples of size 60 from this population were each used to construct a confidence 90% confidence interval, ...
< 1 ... 170 171 172 173 174 175 176 177 178 ... 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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