Sentence examples for tendency for data from inspiring English sources
However, note that there is a very slight tendency for data generated by the rate model to be accounted for through a change in the evidence criterion, as evidenced by the somewhat elevated thresholds.
The data are lognormally distributed; however, the arithmetic mean of the data is useful for risk assessment, while the median gives the measure of central tendency for the data, and the geometric mean characterises the fit of the data to the lognormal model.
Therefore, while we can select a "best" measure of central tendency for the data we are analyzing, there is no "best" central tendency measure for all data sets.
Most students noted that "mean should be used for interval and ratio data with symmetric distribution, median and quartiles are used for ordinal, interval and ratio data whose distribution are skewed," and mode was mentioned as appropriate measure of central tendency for nominal data.
There is a tendency for missing data of the actual incidence of the motorcycle-related RTI and the underreporting of the factors contributing to the crash.
However, there is a tendency for more data points at low diversity (monoculture of each species as reference) than at high diversity, which may affect the slope of the NPP/diversity relation (Schmid et al. 2008).
The central tendency for continuous data is expressed as the mean ± standard deviation or the median (interquartile range).
As a measure of central tendency for continuous data, we used mean ± standard deviation as a measure of dispersion.
There was no strong tendency for the data to cluster according to treatment or time-point (Additional file 2 Figure Two).
The measures of central tendency for continuous data such as OPN and VEGF values were compared by Student's t-test or Mann-Whitney U test, depending on data distribution.
As measures of central tendency for numerical data we will use the mean (in case of normal distribution) and median values (in case of non-normal distribution), with respectively the standard deviation and interquartile range as measures of dispersion.
