Examples of using Statistical tests in English and their translations into Slovak
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Computer
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Programming
Basic statistical tests.
The level of significance adopted for the statistical tests was 5%.
All statistical tests were 2-sided.
For more on why large datasets render statistical tests problematic, see M.
All statistical tests are two sided.
Data were found to be normativelydistributed; therefore, parametric statistical tests were used.
Two statistical tests were performed.
The color frequencies are not changed thus making the embedding resistant against first-order statistical tests.
Two statistical tests are formulated.
The color- respectivly sample-frequencies are not changed thus making the embedding resistant against first-order statistical tests.
Two statistical tests were carried out.
Last week this rocket aircraft successfully passed the first statistical tests in the NASA space center named after Kennedy.
Two statistical tests have been formulated.
There was so much data andthe pattern was so clear that all the statistical statistical tests suggested that this was a real pattern.
Statistical tests for significance of difference.
The best procedure is to“run frequencies” first to find out whether the data are skewed, grouped,or otherwise fail to fit the normal curve assumption or many statistical tests.
All the statistical tests were bilateral.
Statistical tests confirmed the significance of these differences.
The Commission ran two statistical tests to validate the representativeness of the new sampling methodology.
Statistical tests have to be described in sufficient detail so that the readers are able to verify if they are correct.
For more on why large datasets, render statistical tests problematic, see Lin, Lucas, and Shmueli(2013) and McFarland and McFarland(2015).
But, these statistical tests were ignorant of how the data was created.
You need to run statistical tests in order to measure the precision and repeatability of your tools.
McFadden not only devised statistical tests to ascertain whether IIA is satisfied, but also introduced more general models, such as the so-called nested logit model.
To account for situations of unobtainable compliance status, all statistical tests were always performed at least twice:(i) on the basis of data records without those where compliance status could not be obtained; and(ii) on the basis of all data records with missing values treated as non-compliance.
Significance for the statistical test was set at 5%.
Reliability growth- Statistical test and estimation methods.
Z-test is a statistical test that is based on the standard normal distribution.