Examples of using P-values in English and their translations into Japanese
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Programming
The determination is often made using p-values.
Bonferroni: p-values increase only with their number.
The last column shows the p-values for the test.
P-values and related analyses should not be reported selectively.
ASA statement on statistical significance and p-values.
P-values do not measure the probability that the studied hypothesis is true.
The associated statistics, the degrees of freedom and the p-values are displayed.
P-values can indicate how incompatible the data are with a specified statistical model.
Where p is the original p-value and nbp is the number of computed p-values in total.
P-values can indicate how incompatible the data are with a specified statistical model.
If the hypothesis is true, about 5% of the p-values are expected to fall below 0.05.
P-values can indicate how incompatible the data are with a specified statistical model.
This is confirmed by the table of the p-values below(p-values< 0.0001).
In the context of the Durbin-Watson test,the main problem is the evaluation of the p-values.
XLSTAT offers three ways to compute the p-values. You can compute the p-value based on:.
The p-values column contains modified p-values according to the selected post-hoc correction method.
Then, a summary table allows comparing the p-values of the product effect for the different descriptors.
The p-values are all very small and the impact of the three variables is significant in the type III analysis table.
One way to approach this question is to try to convert p-values to Bayes factors, and see how the two compare.
The last three p-values are the adjusted p-values for use when the compound symmetry assumption is not satisfied.
Very high or very low(negative) z-scores,associated with very small p-values, are found in the tails of the normal distribution.
Here, p-values for the Bowker test are all greater than 0.05, indicating no strong evidence of asymmetry between raters.
Comparison plots: Combine the power of boxplots and p-values to test the difference between two samples within a single chart.
P-values for the Anderson-Darling test are not available for 3-parameter distributions, except for the Weibull distribution.
This technique adjusts the p-values to control the false discovery rate for multiple tests.
When the sample size is large enough, the p-values for the Z statistics approximate the p-values for the likelihood ratio statistics.
In the past, 95% intervals and two-sided p-values were often incorrectly used which had made it harder to establish statistical significance.
For all tests, XLSTAT provides p-values using Monte Carlo resamplings. Exact calculations are either impossible or too costly in computing time.
Benjamini-Hochberg: this procedure makes sure that p-values increase both with their number and the proportion of non-significant p-values.
Benjamini-Yekutieli: this procedure makes sure that p-values increase both with their number and the proportion of non-significant p-values.