p-value - Wikipedia, the free encyclopedia In statistical significance testing, the p-value is the probability of obtaining a test statistic result at least as extreme as the one that was actually observed, ...
Statistical significance - Wikipedia, the free encyclopedia In their 1933 paper, Jerzy Neyman and Egon Pearson recommended that the significance level (e.g. 0.05), which they called α, be set ahead of time, prior to any data collection. Despite his initial suggestion of 0.05 as a significance level, Fisher did not
Statistical significance - Wikipedia, the free encyclopedia Despite his initial suggestion of 0.05 as a significance level, Fisher did not intend this cutoff value ...
Confidence interval - Wikipedia, the free encyclopedia 跳到 Statistical hypothesis testing - [edit]. See also: Statistical hypothesis testing § Alternatives to significance testing. Confidence intervals are closely ...
Significance level - disambiguation - WikiofScience Table of Contents Significance level: disambiguation What the significance level is not Properties Significance level: disambiguation "Level of significance" has several meanings, commonly confused and used interchangeably ...
Statistical significance - Wikipedia, the free encyclopedia Statistical significance plays a pivotal role in statistical ... if the p-value is less than the significance or α level.
显著性差异- 维基百科，自由的百科全书 数学表述为：引入p值(p-value)作为检验样本(test statistic)观察值的最低显著性差异水平。在 ρ= 0.01 or 0.05 的情况下，若假设情况实际算得的概率小于 ρ ，则该比 ...
Type I and type II errors - Wikipedia, the free encyclopedia In statistical hypothesis testing, a type I error is the incorrect rejection of a true null .... While 1% might be an acceptable level of significance for one application, ...
Statistical significance - Psychology Wiki The significance level is usually represented by the Greek symbol, α (alpha). Popular levels of significa ...
significance level - 維基詞典，自由的多語言詞典 significance level, significance levels, significance level's, significance levels'; 顯著性水平 [簡體]: ...
