Sentence examples for central tendency of data from inspiring English sources

Furthermore, as the median ((theta =0.5)), like the mean estimate, describes the central tendency of data by comparing the size and the statistical significance of the median coefficient and the other conditional quantile estimates from Tables 2, 3, 4 and 5 it is possible to assess the differential effects of predictors on students' performance.

The arithmetic mean was used to measure the central tendency of data.

The central tendency of data was expressed as mean ± SD or median (5th to 95th percentile interval).

For this comparison, the mean % of methylation was "trimmed" by removing the highest and lowest 1/5th of values before averaging ("20% trimmed mean"), a common method in descriptive statistics to capture the middle ("central tendency") of data sets that do not follow a normal distribution.

As there was not enough information to assess the central tendency of the data, we did not combine the data for multiple probes for a given gene.

Using the mean of the data would potentially introduce error because the mean did not represent the central tendency of the data.

Additionally, the data can be skewed, in which case mean events might not appropriately represent the central tendency of the data.

In the setting where there is a large outlier in one of the experimental wells compared to the other two wells, e.g., 50, 2, 6 spots, the median reflects the central tendency of the data but, unlike the mean, is not influenced by the outlier (i.e. 50 spots).

The agreement between the exponential distribution and the observed sojourn times in the infectious class I is impressive given that only the central tendency of the raw data was fitted (D = 0.243, p-value = 0.226).

Central tendencies of some data were reported using medians and quartiles because of non-normal distribution.

We also report descriptive analyses of the central tendencies of the data.