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Comparisons between the data are complicated by the fact that there are numerous data types as well as a mix of collection methods.
This algorithm uses only aggregated datasets from Census, and the missing crossings between the data are obtained through testing procedures.
Strengths of the relationships between the data are indicated by correlation coefficient r, and the correlations between the data are shown by a regression line.
Gradually, characteristics of and differences between the data are identified, perhaps generating typologies, interrogating theoretical concepts (either prior concepts or ones emerging from the data) or mapping connections between categories to explore relationships and/or causality.
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"There's a disconnect between what the data are and what their conclusions are".
"The agreement between the expectations, the predictions and the data, are quite good," he said.
This creates an incredible gap between the data being used to make decisions and interface with customers, employees and shareholders.
The instant nature of consumer or customer requires a deeper integration between the data being collected and the tools that are needed by the Firstline worker.
The experiments were performed at least three times and the results were expressed as means ± S.D. Differences between the data were tested for statistical significance by t-test.
Significant differences between the data were analyzed according to the Welch test.
The relationships between the data were evaluated using Pearson's and Spearman's correlations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com