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Bootstraps on the mean, median, variance, skewness and kurtosis of these distributions are performed.
Statistical analysis of mean, mode median, variance, variation, Skewness, Curtosis, and Span is also reported.
The seven histogram features (energy, entropy, median, variance, skewness, kurtosis, and coefficient of variation) are extracted for calculating the similarity of two distributions [23].
The values of the statistics; mean, median, variance, skewness and kurtosis increase or decrease according to the changes in parameter values.
Table 2 serves as an illustration of this as it displays the mean, median, variance (σ2), and coefficient of skewness for various values of α.
The median variance of the first principal component was 99.4% (range 98.2 99.9%).
Similar(22)
It tests the null hypothesis that both groups were sampled from populations with identical distributions according to different medians, variances, or outliers.
Descriptive statistics will be obtained for all variables, including distributions, means, medians, variances, standard deviations, skewness, kurtosis, ranges, and quartiles.
Continuous data are reported as medians, variances and ranges, while categorical data are reported as counts and percentages.
Results: Building upon previous work of Billera et al., summary statistics such as sample mean, median and variance are defined as the geometric median, Fréchet mean and variance, respectively.
The median dominance variance across the 16 traits was equal to 5% of the phenotypic variance.
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