Understanding P-Values and Statistical Significance - Simply Psychology
网页2023年10月13日 · The p-value in statistics quantifies the evidence against a null hypothesis. A low p-value suggests data is inconsistent with the null, potentially favoring an alternative hypothesis. Common significance thresholds are 0.05 or 0.01.
显著性检验：P值和置信度_显著性p<0.05,p<0.01,p<0.001-CSDN …
网页2021年5月26日 · P>0.05称“不显著”；P<=0.05称“显著”，P<=0.01称“非常显著”. 由于常用“显著”来表示P值大小，所以P值最常见的误用是把统计学上的显著与临床或实际中的显著差异相混淆，即混淆“差异具有显著性”和“具有显著差异”二者的意思。. 其实，前者指的是p<=0.05 ...
终于有人把p值讲明白了 - 知乎 - 知乎专栏
网页1）如果p值=0.05，则零假设只有5%的机会为真。 p值是基于零假设为真的前提来计算的。 2）不显著的差异（例如，p值>0.05）意味着实验组和对照组之间没有差异。
假设检验中的P值 - 知乎 - 知乎专栏
网页p值即概率，反映某一事件发生的可能性大小。 统计学根据显著性检验方法所得到的P 值， P < 0.05 为有统计学差异 P < 0.01 为有显著统计学差异 P < 0.001为有极其显著的统计学差异 其含义是样本间的差异由抽样误差所致的概率小于0.05 、0.01、0.001
Understanding P-values | Definition and Examples - Scribbr
网页2020年7月16日 · The p value is a number, calculated from a statistical test, that describes how likely you are to have found a particular set of observations if the null hypothesis were true. P values are used in hypothesis testing to help decide whether to reject the null hypothesis. The smaller the p value, the more likely you are to reject the null hypothesis.
p-value - Wikipedia
网页The p -value is the probability under the null hypothesis of obtaining a real-valued test statistic at least as extreme as the one obtained. Consider an observed test-statistic from unknown distribution .
Basic statistics part 4: understanding P values
网页2015年12月28日 · What α you use depends on your field and question, but it always has to be defined before the start of your experiment. In biology, α = 0.05 is standard, but other fields use 0.1 or 0.01. If your P value is less than your α, you reject the null hypothesis, and if your P value is equal to or greater than your α, you fail to reject the null.
网页p-value of 0.002 favoring group A arises very infrequently when the only di erences between groups A and C are due to chance. More precisely, chance alone would produce such a result only twice in every thousand studies. Consequently, we conclude that the advantage of A over B is (quite probably) real rather than spurious.
SPSS相关分析：假设两变量显著相关，得出相关系数r=-0.169，显著性是0.002 …
网页一般的标准是小于0.05，即5%，可拒绝零假设。 比如你的问题，零假设是两变量是没什么关系的，然后p值0.002，概率只有0.2%，很小，因为我们的标准是5%，所以拒绝了或推翻了零假设，也就是有证据表明他们是有关系的，是确实相关的。
P -Value Demystified - National Center for Biotechnology …
网页2019年11月1日 · P value is the maximum probability of getting the observed outcome by chance. For a statistical test to achieve significance, the error by chance must be less than 5%. The pros are the P value that gives the strength of evidence against the null hypothesis. We can reject a null hypothesis depending on a small P value.
跳至内容