comparison test


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comparison test

[kəm′par·ə·sən ‚test]
(mathematics)
A simple test for the convergence of an infinite series, according to which a series converges if the absolute values of each of its terms are equal to or less than the corresponding term of a series that is known to converge, and diverges if each of its terms is equal to or greater than the absolute value of the corresponding term of a series that is known to diverge.
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The SPSS user's guide calls it a least significant difference (LSD) pairwise multiple comparison test.
aMeans with a different letter are significantly different, Holm Sidak multiple comparison test (P = 0.05).
Statistical significance was evaluated by analysis of variance followed by Tukey-Kramer multiple comparison test and by Student's t-test.
The data were statistically analysed using One-Way ANOVA followed by Dunnett's multiple comparison test and "P" values less than 0.05 were considered significant.
Statistical analysis was carried out using analysis of variance (ANOVA) followed by subsequent multiple comparison test (Dunnett's multiple comparison test) using GraphPad Prism version 7.0 software packages (California, USA).
Data are presented as mean [+ or -] SEM and were analyzed by either ordinary one-way ANOVA or repeated measures ANOVA followed by Tukey-Kramer's post hoc multiple comparison test. Ordinary one-way ANOVA assumes that the data are sampled from populations that follow Gaussian distributions.
It has the second most powerful processor in this comparison test and an equally powerful IGP to go with it.
An independent, third-party comparison test at an underground site in the western U.S.
Subsequently, an independent, third-party comparison test at an underground site in the western U.S.
Before starting the comparison test, I ran a list of handguns past the editors here at Petersen's HUNTING, and we narrowed it down to five great options--all chambered for the time proven .44 Magnum--that exemplify the various types of handguns suitable for big-game hunting.
In addition to standard descriptive statistical calculations (mean and standard deviation), one way ANOVA was used for group comparison, and a post hoc Tukey multiple comparison test was performed to identify differences.
In related news, GSMArena has also (http://www.gsmarena.com/android_for_43_caught_in_the_wild_nexus_4_system_dump_available-news-6406.php) revealed the benchmark results for Galaxy S4 GT-I9506 in a separate AnTuTu benchmark comparison test with its rival smartphones.

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