highly significant 统计学里有这个说法么 有是有,当p-value低于0.1%的时候,就是highly significant,意思是有千分之一的可能性原假... 什么东西。基于这两点,如果你在选择变量的时候,你... statistically significant是什么意思 significant有统计学意义双语对照词典结果:statistically significant统计上显著的; 以上结果...
The combination of these last 2 points implies that we can not interpret or report the F-test shown in the table below. As discussed, we can't rely on this p-value for the usual F-test. However, we can still interpret eta squared (often written as η2). This is a descriptive ...
The performances of APRI and FIB-4 in the other CLD cohorts were moderate with an AUROC value of 0.809 and 0.853, respectively (Table 2). In such case, the AUROC value of DOC (0.798) was not significantly different from these two values (Table 2). Similar results were also found in ...
3). Our results showed a 1.7% risk of CAD (HR = 1.017, p-value < 0.001, 95% CI: 1.009–1.024) over 10 years with one unit increase in anxiety score (Fig. 3). Accordingly, based on the 4-factor model structure, we found that only panic disorder could significantly ...
3 Choosing predictors in regression analysis and multicollinearity 2 Correlation or difference? appropriate test for variables with different units? 3 How is it possible that R square increases and the F value decreases? 1 Canonical correlation analysis - loadings vs coefficients ...
1 p-value of t-test versus F-test(joint hypothesis) 0 Help interpret these P-values 0 SPSS Output - My Omnibus Test is insignificant, but I have significant predictors 0 How to explain the phenomenon that each coefficient is significant in multiple regression but n...
Some statistical software like SPSS sometimes gives p value . 000 which is impossible and must be taken as p< . 001, i.e null hypothesis is rejected (test is statistically significant). ... P value 0.000 means the null hypothesis is true. ...
Selection of the cutoff point was determined by the best value of sensitivity and specificity. The degree of agreement on the presence of venous obstruction by IVUS and DU was evaluated by the κ index. The commercially available SPSS program 19.0 (IBM Corp, Armonk, NY) was used for ...
kruskal.test(x~ g) Kruskal-Wallis rank sum test data: x by g Kruskal-Wallis chi-squared = 6.1487, df = 2, p-value = 0.04622 Using R, I don't suppose I can do exactly the same ad hoc test you did in SPSS. However, a Wilcoxon RS test comparing levels 1 ...
In our example, even Bonferroni-uncorrected p-value could not support the omnibus conclusion. Is SPSS at all correct in adopting the "Dunn's approach" (originally proposed for Kruskal-Wallis; see also this Q/A) for Friedman post-hoc testing? I can't say, being ha...