Sentence examples for different means of data from inspiring English sources

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The low participation in academic research of companies from the metal-machine manufacturing industry required the researchers to implement different means of data collection, according to the manager's preference (via internet or in person).

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Interpolation algorithms using covariances of long-term means of data with different spatial support were developed.

Case studies allow for multiple means of data collection, data collection in different settings, and different units of analysis.

Case studies also allow for multiple means of data collection, data collection in different settings, and different units of analysis.

This four-phase study employed a case study design allowing for multiple means of data collection and different units of analysis.

Results were subjected to Analysis of Variance (ANOVA) and the means were compared by Tukey's test, which provides confidence intervals (p-values) as test results for evaluating whether the means of data sets are different.

To show the effect of different TP requirements, we performed simulations under our standard simulation setup for different mean data rates μ d at TPs and, for each mean data rate, we used 100 different realizations of the simulation scenario.

The official statisticians said fundamental differences in definitions between the different kinds of data meant it was not possible to provide a simple accounting-type reconciliation of the differences between the two types of figures.

The measure selects those relevant features which are well clustered around their class mean and the means of two different classes of data are well separated.

It is a useful measure when comparing data sets with different units or widely different means, since the standard deviation of data set is always best understood in the context of its mean.

A recent report also alludes to the importance of appropriate visual representation describing an approach using simplified graphics of Forest plots to increase nurses' awareness of effect measures for different levels of data (adjusted means for continuous data and odds ratios for discrete data).

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