Statistically significant means that one can be confident that random chance in the sampling of the data can be rejected as the cause of the apparent difference.
Statistically significant means a p-value less than [**].
Statistically significant means that you can be very confident that any change between scores is real and not due to chance.
Examples of Statistically significant in a sentence
Statistically significant health disparities exist for First Nations people in BC and across Canada with health outcomes that consistently lag behind those of other Canadians.
Statistically significant p values after FDR (q < 0.05) corrections are bolded.
Statistically significant differences were noted in some HRQOL domain scores, with residents living within 2km of a turbine installation reporting lower overall quality of life, physical quality of life, and environmental quality of life.
Statistically significant increases in the incidence of benign testicular interstitial (Leydig's) cell adenomas were observed in all dosage groups.
Significant Relationships with Client Trust and Commitment (bivariate analyses) Statistically significant correlations were found between planner and client responses and the scales that measured levels of client trust and client commitment.
More Definitions of Statistically significant
Statistically significant means that a result is not likely to be due to chance alone. For purposes of this Attachment, a significance level of 0.05 or 0.01 should be used in determining statistical significance.
Statistically significant means six (6) or more students.
Statistically significant means the application of a Mann-Kendall analysis performed at 95 percent confidence to determine whether consecutive groundwater sampling data showing greater or lesser concentrations of constituents is statistically significant.
Statistically significant under this chapter means establishing that a difference in response between a control and an effluent con- centration is likely due to toxicity and not variability. The statis- tical technique for making this determination shall be Fisher's Exact Test or a one-tailed hypothesis test specified or approved by the de- partment. These hypothesis tests shall be conducted at the ninety-five percent confidence level although the department may approve tests at the ninety-nine percent confidence level if the statistical power of the test will not be adversely affected.
Statistically significant simply means that to a given degree of certainty (often 95%) we can be sure that the relationship in the data is not merely due to chance.
Statistically significant means that the absolute value of the bias of at least one of the tools lies outside the 90-percent confidence interval of the absolute value of the bias of the other tool.A tool can never catch up with out-of-sample/out-of-time bias. All that can be done is to construct a tool with the most-recent data, use indicators and approaches that are resistent to overfitting, and hope that the remaining (unknown) bias is not so large as to have a material effect on decisions that are informed by the estimates.For the PAT, out-of-sample/out-of-time bias has not been measured. For the scorecard, it has been measured for 11 countries. This type of bias is not discussed further here because it cannot be compared between the scorecard and the PAT.3.2.5 Out-of-group bias Dropping the second assumption and keeping the first and third leads to out-of- group bias. This matters because the scorecard and PAT are constructed from nationally representative data but are applied to non-nationally representative sub- groups. In a sub-group, the relationships between indicators and poverty generally differ from those in the construction data.31Common sub-groups are urban/rural, agricultural/non-agricultural, and sub- national regions. Of course, the participants of a pro-poor organization are a non- nationally representative sub-group, as they are both self-selected (as when a potential borrower chooses to apply for a microloan) and program-selected (as when a microlender approves loans for some potential borrowers but rejects others).
Statistically significant means the application of a statistical method pursuant to Section 841.225 of this Part to determine whether consecutive groundwater sampling data showing greater or lesser concentrations of chemical constituents represents a pattern rather than chance occurrence.