statistical significance

搜索你感兴趣的内容和人首页浏览发现话题广场快速注册2015-12-18 12:06:10统计突出性(statistical significance) P值 * 崇拜 在模型元假设下

no statistical significance统计和临床突出性.statistical and clinical significance统计突出性检验.

突出性,又称统计突出性(Statistical significance),是指零假设为真的情况下拒绝零假设所要承担的风险水平,又叫概率水平,或者突出水平。 突出性的含义是指两个群体的态度之间的任何差异是由于系统要素而不是偶然要素的影响。我们假定控制了可能影响两个群体之间差异的所有其他要素,由此可见,余下的解释就是我们所推断的要素,而这个要素不能够100%保证,所以有一定的概率值,叫突出性水平(Significant level)。 总

《牛津词典》Althoughtheresultdid notreachstatisticalsignificance, Rastelli calls the resultpromisingandworthfurtherstudiesyoudaoDifference betweenthetwogroupshasstatisticalsignificance

免费在线预览全文Statistical Significance R.Raveendran Stat test Tests whether two groups are statistically different from each other Statistically different? = Truly different? Not just apparently different But statistics does help us determine which group of trees is taller How to find statistical difference? Thank you * * Heart rate (bpm) Mean ± SEM n In men - 73.34 ± 5.82 10 In women - 80.45 ± 6.13 10 The difference between means (80.45-73.34) = 7.11 We do not need a stat test of significance, if only : a. the data from all subjects in a group are IDENTICAL b. we can collect data from all subj

正确理解医学统计推断中的 有统计学意义 与 有实际专业意义

In some cases, particularly in competitive product comparisons, summative studies are designed to yield quantitative data that can be tested for statistical significancestatistical significance的相关资料:.

highly statistical significance高度统计突出性.be of no significance无关紧要.

文章浏览阅读1.4w次,点赞9次,收藏28次。统计突出性,是针对某种比较来说的。要比较,就要有个标准。在一个统计调查里, 零假设 (Ho,读作H null)就是当下的参考标准。统计上的推论或假设总是倾向于保守,有点像惯性定律,除非你有足够的影响力突出改变了什么,否则我们不会轻易改变当前已有的推论——当然这个推论也是保守、合理、并有一定共识的。当将你的检验影响与 零假设 比较时,会出现四种情况:2x2表 零假设 是对的 零_statistical significance 统俗讲义之——何为统计突出性(Statistical Significance) 版权统计与调查思维专栏收录该内容17 篇文章 统计突出性,是针对某种比

They were also 17 percent less likely to die during the 10-year study period, but this finding was just shy of meeting statistical significance. 在10年调查期间17%的人更不容易死亡,但该项调查仅仅有统计学意义。 youdao There were statistical significance of percentage between over much protein or fat and heat energy abundance in poorly-controlled group(P 0.01). 在血糖控制较差组,脂类、蛋白质摄入过多率与热量摄入过多率相比亦有统计学意义(P 0.01)。 youdao There were statistical significance of percentage between over much protein or fat and heat energy abundance in poorly-con