Note that when there is a significant difference between the distributions of the two samples, we can’t tell whether this is a difference in means, medians, variances, skewness, kurtosis, etc. Example Example 1: Determine whether the samples in ranges B4:B11 and C4:C10 of Figure 1 come ...
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You can easily calculate population or sample variance and standard deviation, as well as skewness, kurtosis, and other measures, using the Descriptive Statistics Excel Calculator. On this page: Variance and Standard Deviation Definition and Calculation Describing vs. Forecasting in Statistics Population ...
While from Figure 6, we observe that (i) the standard deviation estimation from C 3 is quite sensitive to the skewness of the data, (ii) C 1 and C 3 would also lead to the opposite estimations except for very small sample sizes, and (iii) C 2 turns out to be a good compromise...
Data from the Statistical Yearbook of the Tianjin. The data sample included 1988-1998. From table 1, per capita disposable income of urban residents during the sample x is 1145.606 Yuan, sample town during the annual per capita demand for fresh eggs and y is 16.57 kg. Skewness of x is ...
Non-parametric CP estimations resulted in screening positivity in drug-naive samples closer to the targeted rate (5%) and were less impacted by skewness. Outlier removal using the boxplot method with an interquartile range (IQR) factor of 3.0 resulted in screening positivity close to the 5% ...
, skewness (g1), and kurtosis (g2) of the sample observations of the firms. This enabled us to quantify the key economic and financial metrics of the sample observations. To proceed with the analysis, it was necessary to assess whether the distribution of the observations adhered to a ...