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Data evaluation by descriptive (means, standard deviations, cross-tabulation), factor, cluster and discriminant analysis was implemented.
Context-based evaluation of quality attributes has led to the use of scenarios as the descriptive means of specifying and evaluating quality attributes.
There are two views on whether the theory simply represents a descriptive means to model behaviour without presupposing that agents actually reason in accordance with the theory or whether instead it actually describes the decision rules manifested by rational agency.
Descriptive means and standard deviations were analyzed for the continuous demographic characteristic variables.
That a term is purely descriptive means only that one can decide whether or not it applies without recourse to evaluative judgments.
Descriptive means and standard deviations were calculated.
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using descriptive (mean, frequency, percentage & standard deviation) and inferential statistics (t-test).
Data collected were analyzed for descriptive (mean and standard deviation) and inferential (Student's t test) statistics using the Statistical Package for Social Sciences (SPSS) for Windows version 16.0.
Descriptive mean data for the IQL, IQG, NECR, weight, BMI, injected dose, injected dose/body weight and ranges of all values are summarised in Table 2.
Descriptive mean and percentage statistics were used to summarize patient data and gene hypermethylation status.
Descriptive mean and 95%-confidence intervals were calculated for all variables of joint function.
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CEO of Professional Science Editing for Scientists @ prosciediting.com