Pooling states together in a single empirical model with fixed effects to produce some "national" results may not make statistical sense when there is interest in the considerable heterogeneity that exists across the states [ 31].
The reason for using this index is that the standardized coefficients, usually known as Z-score test statistics, are independent of scale, and may be used to make statistical inference.
Whole brain parametric maps make it possible to perform further standardized post-processing (e.g. NEUROSTAT and SPM), which may make the statistical analyses more standardized and less dependent on the observer.
Furthermore, there were fewer significant gene sets enriched in the Coriell-18 group (4 sets) than in the ECACC-6 (65 sets) and Nf1-Mouse-12 groups (189 sets), which may make meaningful statistical comparisons difficult.
Therefore, it may be desired to make statistical inference on the true values of unknown specimens without estimating this possible correlation.
The definition or measure of nurse shortage [ 1, 2] or the establishment of the right ratio of nurses to population [ 1] may vary between countries and make statistical comparisons harder.
We made no attempt to make statistical inferences.
Some statistical, spatial measures are more stable when k is constant or larger than a threshold; for instance, the distribution of the Getis statistics is known when k ≥ 8, and statistical considerations may make k neighbours a useful neighbourhood definition (Ord and Getis 1995).
Violating assumptions of a statistical test may make tests more or less likely to make type I or II errors (false positives and false negatives), which can lead to incorrect inferences about the cause-effect relationship and thus undermine meaningful research.
Therefore, each sport will have unique statistical variables that may make it more difficult for researchers to draw cross-sport comparisons.
