Sentence examples for data principals from inspiring English sources

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With timely data, principals and superintendents can better mentor and guide teachers as well as make sound evaluations of their performance.

Similar(59)

Rather, I propose that teachers be evaluated on three criteria: student data, principal evaluation and peer review, which would encourage an enduring teamwork culture within and across departments that is the hallmark of great schools.

In case of missing or incomplete data, principal investigators of included trials were contacted and additional information requested.

Based on currently available data, Principal Species for a substantial portion of the periodic table (through atomic number 103) are thought to be controlled or influenced by pH.

In order to reveal the subtle differences among the NMR spectra and, separately, among the formulae assigned to FTICR-MS data, principal component analysis (PCA) was utilized.

Several multivariate analysis techniques were employed as alternative options for simplifying the data: Principal Component Analysis (PCA); Non Metric Multidimensional Scaling (NMDS) and Cluster Analysis.

Then, for speeding up the learning process and reducing the effect of noise PPI data, principal component analysis (PCA) is carried out as a proper feature extraction algorithm.

First, from the large number of flame image data, principal component analysis is used to discover the principal components or combinational variables, which describe the important trends and variations in the operation data.

To further investigate the comparability of the data, Principal Component Analysis was performed on the dataset obtained by combining the DCCI and GCI data, and the score plot is reported in Figure 4 a.

Due to the complexity of the MIF data, Principal Component Analysis (PCA) was used to identify regions of the binding site that account for most of the MIF variation in the yeast BRD family.

The exploratory data analysis included descriptive analysis of data, principal component analysis, and logistic regression.

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