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hypothesis testing

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hypothesis testing

In statistics, a method for testing how accurately a mathematical model based on one set of data predicts the nature of other data sets generated by the same process. Hypothesis testing grew out of quality control, in which whole batches of manufactured items are accepted or rejected based on testing relatively small samples. An initial hypothesis (null hypothesis) might predict, for example, that the widths of a precision part manufactured in batches will conform to a normal distribution with a given mean (see mean, median, and mode). Samples from new batches either confirm or disprove this hypothesis, which is refined based on these results.


hypothesis testing [hī′päth·ə·səs ‚test·iŋ]
(statistics)
The branch of statistics which considers the problem of choosing between two actions on the basis of the observed value of a random variable whose distribution depends on a parameter, the value of which would indicate the correct action.


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We provide guidance related to Mean, Bar, Pie, Histogram, Median, Variance, Standard Deviation, Mean Deviation, Descriptive Statistics, Probability, Discrete and Continuous Probability, Binomial Distribution, Poisson distribution, Geometric Distribution, Confidence Intervals, Hypothesis Testing and Central Limit Theorem.
Compiled by the editorial staff at Gale, this reference volume for students and practitioners contains 316 essays on such management topics as consumer behavior, electronic commerce, innovation, hypothesis testing, intellectual property rights, fuzzy logic, social networking, Web 2.
 
 
 
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