Statistical significance definition

Statistical significance means the statistical significance determined by using appropriate standard tech- niques of multivariate analysis with results interpreted at the 95 percent confidence level and based on data re- lating species which are present in suf- ficient numbers at control areas to per- mit a valid statistical comparison with the areas being tested.
Statistical significance means a mathematical measure of change within the sample population, when the sample population is large enough to be considered representative of the overall population. The change is said to be statistically significant if it is greater than what might be expected to happen by chance alone. The mathematical threshold is a statistically significant change would occur less than 5% of the time by chance alone.
Statistical significance means a one-sided p-value less than [***].

Examples of Statistical significance in a sentence

  • Statistical significance not tested.* Values reported for items with n >= 3.

  • Statistical significance tests should be conducted to assess the likelihood that observed trends may be attributable to sampling variation.

  • Storey JD, Tibshirani R (2003) Statistical significance for genomewide studies.

  • Data yang diperoleh pada kartu skor dianalisis secara kuantitatif dengan menghitung persentase nilai untuk setiap elemen dengan rumus: ..............................

  • Statistical significance tests for machine translation evaluation.


More Definitions of Statistical significance

Statistical significance for this review means that there is a less than five percent chance (p-value <0.05) that the observed difference is merely the result of random fluctuation in the number of observed cancer cases.
Statistical significance means that the finding is unlikely to have occurred by chance
Statistical significance means that the differences observed between two categories are sufficiently substantial and consistent so that it is highly unlikely that the observed differences are random. For example, there is a statistically significant difference in the likelihood of removal between represented detainees and unrepresented detainees at the .05 level. This means that there is at least a 95% probability that the different rates in removal that we observed in our study reflect a real difference in rates of removal for unrepresented detainees compared to represented detainees in general.
Statistical significance means that one can confidentially reject chance in the sampling of the data as a cause for the observed difference.
Statistical significance means the intensity of the link between the single indicator and the dependent variable (the correlation coefficient is significantly different from zero). The "economic significance" is instead connected to the rationality of the relationship thus identified.
Statistical significance means rejection of the null hypothesis that the actual Demand falls within the forecasted Demand, plus or minus 1 standard deviation.
Statistical significance. (which means the difference isn't left to chance) in a study is often set at 5%. This study will use the 5% standard as well to determine statistical significance.