statistical dispersion造句
例句與造句
- This occurs frequently in measures of statistical dispersion.
- Here " variability " could be quantified by the variance or any other measure of statistical dispersion.
- Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.
- The range is the size of the smallest interval which contains all the data and provides an indication of statistical dispersion.
- Different measures of central tendency and statistical dispersion can be useful to obtain a more comprehensive analysis of the relationship between variables.
- It's difficult to find statistical dispersion in a sentence. 用statistical dispersion造句挺難的
- :What you are trying to measure is Statistical dispersion, I would recommend that you weight the same item 100 times.
- All the above measures of statistical dispersion have the useful property that they are "'location-invariant "'and linear in scale.
- This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.
- then " s " is called a "'scale parameter "', since its value determines the " scale " or statistical dispersion of the probability distribution.
- In particular, the last of these was a pronounced element of SSMCIS, with substantial material on it present in all six courses, from measures of statistical dispersion to combinatorics to Bayes'theorem and more.
- The measure of statistical dispersion used to represent the distribution of a specific quantity, such as income or wealth, at a global level, among a nation's residents, or even within a metropolitan area.
- The statistical dispersion measures are scaled ( they do not need to be shifted because they are already centered on the mean ) by the range ( c-a ), linearly for the mean deviation and nonlinearly for the variance:
- For a beta distribution with equal shape parameters ? = ?, the mean is exactly 1 / 2, regardless of the value of the shape parameters, and therefore regardless of the value of the statistical dispersion ( the variance ).
- One way is by dividing by a measure of scale ( statistical dispersion ), most often either the population standard deviation, in standardizing, or the sample standard deviation, in studentizing ( e . g ., Studentized residual ).
- The mean absolute deviation around the mean is a more robust estimator of statistical dispersion than the standard deviation for beta distributions with tails and inflection points at each side of the mode, Beta ( ?, ? ) distributions with ?, ? > 2, as it depends on the linear ( absolute ) deviations rather than the square deviations from the mean.
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