Sentence examples for output of statistical from inspiring English sources

Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Furthermore the program allows the output of statistical results in spreadsheet files, or even tree files if phylogenetics analyses are involved.

The basis for rejection of the null hypothesis is provided by the p value, which is the output of statistical significance testing that is upheld as nearly sacred by many quantitative researchers.

Various options for testing assumptions are easily available and sometimes even automatically generated within the standard output of statistical software (e.g., see SAS or SPSS for the assumption of variance homogeneity for the t test; for a discussion see [ 42- 45]).

The outputs of statistical analyses indicate further global application of 11 conclusive loci in population genetics of the parasite.

The output of the statistical analysis is a test statistic for a specific hypothesis and confidence bounds of the parameter (mean fold change, in this example).

For instance, the misreporting of a statistical result may be the result of a typo or of misreading the output of a statistical software program.

So, often, a tool like RegexNER is most useful as an overlay that corrects or augments the output of a statistical NLP system like Stanford NER.

The discussion of results presented here should not be construed as epidemiologic findings, but rather the output of three statistical methods as applied to real data.

Re-evaluation of gene expression array data demonstrated that sample mislabeling may have a considerable impact on the output of the statistical evaluation and allows inferences on the accuracy of biobanking.

Collinearity diagnostics were evaluated both from the output of the statistical procedures and by manual generation of models including only one of several variables with close relationships (for example, malnutrition, body mass index and serum albumin).