, and coefficient of variation. Once the statistical measures are calculated, the statistical test will then compare them to a set of predetermined criteria. If the data meet the criteria, the statistical test will conclude that there is a significant difference between the two sets of data....
Choosing the right test to compare measurements is a bit tricky, as you must choose between two families of tests: parametric and nonparametric. Many -statistical test are based upon the assumption that the data are sampled from a Gaussian distribution. These tests are referred to as parametric ...
Integrating data from surveys conducted by different agencies or integrating data from surveys with data from administrative records, such as tax or social welfare program records, are ways to achieve this goal. When separate data sets are collected and analyzed in such a way that they may be ...
It started when I was reading a paper about an approach that uses set-aside data labeled with human reports to learn a threshold on a function that predicts the “alignment” (e.g., similarity) of predictions with those reports. They do this to ensure that new predictions are sufficiently ...
the Student t-test and t-distribution can be used to compare two small sets of quantitative data collected independently of one another
Parametric statistical tests, such as the independent samples t-test, which are designed to look at the difference between central tendencies, for example, in reading age between two classes of children, will compare the means of the different data sets. The mean, or, more precisely, the ...
Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software. While guidelines exist for algorithm selection and outc
can or cannot be applied depending on the situation,that is,type of results obtained.In a recently published paper in JMLR by Demˇs ar(2006), a group of useful guidelines are given in order to perform a correct analysis when we compare a set of classifiers over multiple data sets....
“You want to gather data to determine which of two students is a better basketball shooter. You plan to have each student take N shots and then compare their shooting percentages. Roughly how large does N have to be for you to have a good chance of distinguishing a 30% shooter from a...
The theory emphasizes the small difference between the training error and test error of the selected hypothesis, assuming that the data generating mechanism is benign. It avoids metaphysical statements about the true underlying dependency and instead focuses on the difference between training and test ...