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Analyze and interpret data, using the principles of natural selection, to make predictions about the long term biological changes that occur within two populations of the same species that become geographically isolated from one another.
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The area of descriptive statistics is concerned primarily with methods of presenting and interpreting data using graphs, tables, and numerical summaries.
Caution should nevertheless be employed when generating and interpreting data using our model building exercise.
A caveat to interpreting data using this maneuver is that the patient must be relaxed and in synchrony with the ventilator.
Analyses focused on representing, describing, and interpreting data, using standard techniques [ 15, 19, 21, 22] and a qualitative research software package, ATLAS.ti 5.0 (Scientific Software Development, 1997) to code data and generate reports of coded text for analysis.
These patterns demonstrate resilience of gap analysis deductive model processes to the type of remotely sensed or interpreted data used in habitat feature predictions.
Analyzes and interprets data using common statistical procedures, charts, and graphs.
Additionally, workers are expected to be able to interpret data for use in clinical practice.
Over the next year, supercomputers will correlate, combine and interpret the data using very long baseline interferometry, a procedure common in astronomy but never implemented on such an enormous scale.
GSEA is a software method to analyze and interpret microarray data using biological knowledge [ 30, 31].
Moreover, compared to the existing tools which interpret new data using biologically significant genes annotated with published information, GEM-TREND focuses on data retrieval from GEO and gene-network analyses using GO annotation.
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