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Laboratory Instrumentation and Test Interpretation
Laboratory Instrumentation and Test Interpretation

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Syllabus for ELEMENTS OF STATISTICS

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... 35. A major manufacturer of home electronics is interested in determining whether customers have a preference between two new speaker designs for their home entertainment centers. To test this, the design department manager has selected a random sample of customers and shown them the first design. A ...
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... when in fact, they are significantly different;  ii.Researcher concludes children’s reading scores in 5th and 6th grades are significantly different, when in fact, they are not significantly different;  iii. Researcher concludes children’s reading scores in 5th and 6th grades are significantly dif ...
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CH 22 Inference for means

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... of the intervals obtained would contain the true population value. Confidence intervals can be calculated using probabilities other than 95% (e.g. 90%, 99%). The larger the probability associated with a confidence interval, the wider the interval. Correlation coefficient r: a measure of how closely ...
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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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