sampling distribution sentence in Hindi
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- Two data sets will be helpful to illustrate the concept of a sampling distribution and its use to calculate the standard error.
- Laha also proved several generalisations of the classical characterisation of normal sample distribution by the independence of sample mean and sample variance.
- In the case of a discrete variable, the sampling distribution of the median for small-samples can be investigated as follows.
- The resulting ratio, F max, is then compared to a critical value from a table of the sampling distribution of F max.
- Bootstrapping has also been suggested as a method of estimating the sampling distributions of a moderated mediation model in order to generate confidence intervals.
- He also made important contributions to statistics, including the maximum likelihood, fiducial inference, the derivation of various sampling distributions among many others.
- Each sample has its own average value, and the distribution of these averages is called the " sampling distribution of the sample mean ".
- Like box plots, violin plots are used to represent comparison of a variable distribution ( or sample distribution ) across different " categories ".
- Bootstrapping is a non-parametric resampling procedure that can build an empirical approximation of the sampling distribution of ?? by repeatedly sampling the dataset.
- The sample distribution from the standing stones was compared with the theoretical distribution to show that the occurrence of straight lines was no more than average.
- One approach to inference uses large sample approximations to the sampling distribution of the log odds ratio ( the natural logarithm of the odds ratio ).
- In the sense that the ( unconditional ) sampling distribution of this one is the same as the underlying distribution of what you are sampling from.
- Only the ranking between candidate solutions is exploited for learning the sample distribution and neither derivatives nor even the function values themselves are required by the method.
- In order to determine the statistical significance of the indirect effect, a statistic based on the indirect effect must be compared to its null sampling distribution.
- A first relevant question is whether it is possible or not to distinguish between uniform and boson-sampling distributions by performing a polynomial number of measurements.
- Another use of Haar measure in statistics is in conditional inference, in which the sampling distribution of a statistic is conditioned on another statistic of the data.
- The trend test exploits the suspected effect direction to increase power, but this does not affect the sampling distribution of the test statistic under the null hypothesis.
- Fisher's emphasis on the sampling distribution of a statistic was extended by Jerzy Neyman and Egon Pearson with greater precision and wider applications, which Hotelling recognized.
- For these hypothesis tests, as the sample size, n, increases, the sampling distribution of the test statistic approaches the normal distribution ( Central Limit Theorem ).
- For the purpose of hypothesis testing or estimating confidence intervals, the standard error is primarily of use when the sampling distribution is normally distributed, or approximately normally distributed.
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