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Minimum, maximum, standard deviation and standard error values were measured using SAS package.
Minimum, maximum, standard deviation (SD) and standard error values were measured using SAS package.
The mean, minimum, maximum, standard deviation (Std Dev), variance (Var), skewness (Skew) and kurtosis can describe variability of the data.
Table 1 Minimum, maximum, standard deviation and average values of different constituents of water samples P. no.
We then compared parameters (mean, minimum, maximum, standard deviation) characterizing the distributions of temperatures of individual frogs estimated from data collected using each of the three methods.
Statistical parameters (mean, median, minimum, maximum, standard derivation, Skewness, kurtosis and the coefficient of variation) were computed for each water quality parameter by the software package SPSS.
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The minima, maxima, standard deviations, medians and means of the variables were calculated in the pre-examination step (Additional file 2: Table S2).
The means, minima, maxima, standard errors and broad-sense heritabilities of traits in the parental lines and BC1 F1 or BC1 F1:2 populations were determined (Table 5).
The descriptive statistics (minimum, maximum, mean, standard deviation, standard error, skewness, and kurtosis) were calculated for the physico-chemical variables in water samples.
From the measured dimensions, the values of minimum, maximum, mean, standard deviation (SD), standard error of mean (SEM), coefficient of variation (CV), 5th and 95th percentile values were determined.
We divided the year into four seasons based on the standards of the Chinese Meteorological Administration to calculate the seasonal mean, minimum, maximum, and standard deviation: spring (March May), summer (June August), autumn (September November), and winter (December February).
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