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Based on this, discriminant function analysis can be used to determine which variables (Rf ranges) caused the mean value comparison to become significant or which variables can discriminate between groups.
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Retention of statistical outliers in a data set can cause the mean value to be changed slightly whilst the confidence interval can be greatly increased.
The signal-to-noise ratio is very low in these types of forests, causing more estimations towards the mean value.
The small dimension of the A1 subset of patients often caused the single mean values to change more likely as a consequence of the delay of a few patients, as well as the variability from 0 to 100% in the API in Figure 6.
By limiting the calculation to the content of the effectome, we avoid the likely distortion of the mean value caused by horizontally acquired genes.
A detailed analysis showed that the major difference in the mean value was effectively caused by single cases for which there was a great discrepancy between self-reported and administration data.
Since these approaches cause distortion of the mean values [ 23], raw data are reported based on N = 10 in the WBV+ group (table 4).
First, this model proposes a hypothesis that besides fluctuation around the mean value, all price changes are caused by the change of exogenous variables.
The use of aggregate functions can also cause loss of information, such as occurs when using the mean value (Average_Days) to represent the number of days of hospitalization.
In order to reduce the negative impact caused by different speakers and speaking rates, these features are all normalized by the mean value across the whole sentence.
This phenomenon causes a variability of about 1 2 km/h on the measured speed with respect to the mean value (about 1 %–1.5 % with respect to the launching speed).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com