0124 for each n; moreover, the simulated skewness and kurtosis
values are very close to 0.
For the explanatory variables, Panels A and B show that the skewness and kurtosis
values of advertising, R&D and control variables are skewed and have excess kurtosis
A problem with the original items was a great degree of kurtosis
Measures of multivariate skewness and kurtosis
fits a bell-shaped curve, with the mean defining the location of the distribution, and standard deviation defining the dispersion of the distribution; zero skewness which measures symmetry, and zero kurtosis
which measures the distribution in the tails of the distribution).
In tables 4 and 5 we can observe that for both subsamples: (i) the values of the mean and of the median are close to each other for all the dimensions of emotional competence; (ii) the minimum and the maximum values are at great distance one from another; and (iii) the coefficients of asymmetry and kurtosis
are mostly inferior to 1.
Skewness and kurtosis
indicate the symmetry and the clustering of data towards the center of a distribution.
Keywords: vibration analysis, spectrometry, centrifuge pomp, kurtosis
and fault diagnostics
The normal distribution has an excess kurtosis
of 0 but the distribution of home runs has an excess kurtosis
Of the tests used, PSI, SDQ, HADS (anxiety) and DBSES were normally distributed, whereas HADS (depression) was not and was positively skewed with some evidence of kurtosis
A common rule-of-thumb test for normality is to divide item skewness and kurtosis
statistics by their standard errors.
(Rku): the measure of the peak-ed-ness of the profile about the mean line.