Examples of using Statistical tests in English and their translations into German
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Provides criteria for splitting nodes based on measures of impurity and statistical tests.
Finally, students use statistical tests to analyse antibiotic resistance data.
Statistical tests identified leisure-time noise exposure as an independent risk factor in hearing loss.
Statistical tests were considered significant at a probability of p≤0.05.
report presentation and statistical tests performed.
a forecast really is uninformative, it is necessary to carry out statistical tests.
Extensive statistical tests regarding reliability
Comprehend the operating mode of statistical tests, in particular to perform a simple statistical test and interpret the results.
With more than 220 statistical tests, procedures and graphics, it covers a wide range of statistical analysis.
If known, name the statistical methods you want to use e.g. statistical tests, regression, multivariate methods, etc.
MaxStat supports over 100 commonly used statistical tests and makes it easy to interpret results
SigmaPlot now recognizes formatted text for statistical tests as it did in the past for plain text.
Additionally, different settings for the evolutionary algorithm are studied with further experiments and their utility is verified with statistical tests.
Wednesday, January 9, 2019 With more than 220 statistical tests, procedures and graphics, it covers a wide range of statistical analysis.
the pattern was so clear that all the statistical statistical tests suggested that this was a real pattern.
For more on why large datasets render statistical tests problematic, see M. Lin,
Specialty statistical tests in JMP Clinical, Wells says, flag potentially problematic
The scatter matrix graph, used to display results of some statistical tests such as correlation,
Such estimators can then be used to interprete the data or to construct statistical tests which can be used to check wether such a shape constraint is reasonable from the observed data.
However, to get to this finding the data was run through such a myriad of statistical tests, discarding all negative results until the desired positive one was achieved, that the conclusion was virtually meaningless.