parametric tests

parametric tests

statistical tests, e.g. t-tests or analysis of variance (ANOVA) that analyse for difference between groups of normally distributed data
References in periodicals archive ?
Contract award: assay multi parametric tests for immuno-analyzer.
Up to this time, when statistical tests have been employed, they are typically parametric tests such as a t-test or the creation of a confidence interval (e.
The new Pyramid parametric probe cards are compatible with Keithley S600 Series and Agilent 4070/4080 Series parametric testers for performing precision DC and RF parametric tests
Pretest and posttest scores did not violate the assumption of normality; therefore, parametric tests were used to compare the means of the two groups.
A similar group is the group of the only three survey statements that specifically refer to parametric tests.
The Agilent N6465A eMMC test application helps memory design engineers validate and debug eMMC NAND flash memory cards faster by automating the execution of a series of parametric tests, including electrical and timing measurements, on Agilent Infiniium 9000, 90000A, 90000 X- and 90000 Q-Series oscilloscopes.
Contract notice: Assay multi parametric tests for immuno-analyzer.
Using LogicVision's ETSerdes, a full set of high-speed I/O parametric tests can be performed at production test speeds.
Gad covers experimental design, computational devices and software, data preparation and exploration, nonparametric hypothesis testing of categorical and ranked data, univariate parametric tests, modeling and extrapolation, trend analysis, reducing dimensionality, multivariate methods, carcinogenesis, risk assessment, epidemiology, SAR modeling, and areas of controversy in statistics used in toxicology.
The patented and patent-pending technology only found in Streetwise operates on all parametric tests performed, and automatically determines the data distributions on a per-wafer and per-test basis.
Their topics include deciding when to apply the statistical approach, how to use measuring, sampling and error data appropriately, making sense of distributions and possibilities, reading and using statistical studies, displaying data, testing for differences between means, dealing with errors and ANOVAs, using non- parametric tests and tests for association using Chi-square, correlation and regression, and testing hypotheses.
Part of the challenge is that these new high voltage requirements add to the list of parametric tests rather than replace it.