| 词汇 | sampling-distribution |
| 释义 | BETA sampling distributioncollocation in Englishmeanings of distributionThese words are often used together. Click on the links below to explore the meanings. distribution noun[ C or U ] uk /ˌdɪs.trɪˈbjuː.ʃən/ us /ˌdɪs.trɪˈbjuː.ʃən/ the process of giving things out to several people, or spreading or ... See more at distribution Examples of sampling distributionsampling distribution Unfortunately, the functional form of an estimated eigenvalue's samplingdistribution is unknown, and it is even impossible to calculate its standard error analytically. So our null hypothesis implies a certain samplingdistribution for the percentage of successes. That is, while the bootstrap estimate of the entire samplingdistribution is available, the normal approximation only uses its standard deviation. The normality assumption is required for hypothesis testing and particularly to establish the samplingdistribution of test statistics. The third level of analysis involves the determination of the confidence interval on the basis of the empirical samplingdistribution. To recapitulate (1), every application of the t-test evokes the appropriate samplingdistribution of differences. The samplingdistribution of linkage disequilibrium under an infinite allele model without selection. Bootstrapping allows the estimation of the samplingdistribution of virtually any statistic, merely by re-sampling and re-estimating it multiple times. In this way, the samplingdistribution can be estimated experimentally, without any a priori assumptions about its functional form. The above computations were repeated 20,000 times to obtain the samplingdistribution for the direction selectivity index, under the null hypothesis that there was no direction selectivity. The point estimation of a parameter is always a much easier mathematical problem to solve than assessing the estimator's samplingdistribution and using it to make inferences. They do not state the samplingdistribution of their estimated correlation. Then, permutation tests performed on the data allow the computation of the corresponding null samplingdistribution. This distribution is not necessarily normal in the same sense that the samplingdistribution of a sample mean is normal as a consequence of the central limit theorem of statistics. When they are tabulated in the form of a frequency distribution, the result is an empirical approximation to the random samplingdistribution of the differences between two sample means. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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