Sentence examples for adequate statistics for from inspiring English sources

Exact(2)

In order to obtain adequate statistics for what can be very weak sources, it is essential to have a large effective area, while maintaining a low mass.

However, by 7 U.S.C. 608e, 7 U.S.C.A. § 608e, the period of August 1919—July 1929 or a part thereof may be used for any commodity as to which the Secretary finds and proclaims that adequate statistics for the 1909-14 period are not available.

Similar(58)

However, the point locations selected for each depth produced adequate statistics of validation.

These range from a poor understanding among health staff regarding the rationale and importance for adequate statistics to systematic errors within the health care system.

The presented Rasch-built modified interval MRC sum score is considered a substantial improvement compared to the evaluation of muscle strength using ordinal based scores, which in essence are not suitable for performing adequate statistics.

In view of the need for more adequate statistics in relation to fisheries, the Committee is of the opinion that the coordination of such statistics should in future be the responsibility of the Fisheries Division of FAO, in collaboration with the Statistical Division.

For example, only three nations with adequate statistics narrowed the gap in child mortality between the rich and the poor in the 1990's.

Given equivalent means, and coupled to the observation that the standard deviation drops to less than 5% of the mean for network sizes of at least 500, we are confident that 24 independent year-long simulations will yield adequate statistics.

This large frontal VOI produced adequate counting statistics for modest noise in the time-activity curve.

The Root Mean Error of Approximation (RMSEA), the Tucker Lewis Index (TLI) and the Comparative Fit Index (CFI) were shown to be adequate fit statistics for confirmatory factor analysis with ordinal data (Yu 2002).

Differences between groups were then examined using independent t-tests for continuous variables, Wilcoxon rank-sum tests for ordinal variables and continuous variables for which no adequate transformation was available, and Chi-squared statistics for categorical data.

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