Übersetzung für 'p value' von Englisch nach Deutsch

p-value

p-Wert {m}acad.stat.

Signifikanzwert {m} <p, p-Wert>stat.

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probability value <p-value, p>

p-Wert {m} <p> [Wahrscheinlichkeitswert]stat.

• A LOD score of 3 translates to a "p"-value of approximately 0.05, and no multiple testing correction (e.g. ...
• The chi-squared statistic can then be used to calculate a p-value by comparing the value of the statistic to a chi-squared distribution.
• For statistical hypothesis testing this function is used to construct the "p"-value.
• The p-value is the probability of obtaining results as extreme as or more extreme than those observed, assuming the null hypothesis (H0) is true.
• authors of statistical text books began combining the two approaches by using the "p"-value in place of the test statistic (or data) to test against the Neyman–Pearson "significance level".

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• Although in principle the acceptable level of statistical significance may be subject to debate, the significance level is the largest p-value that allows the test to reject the null hypothesis.
• Here, the calculated "p"-value exceeds .05, meaning that the data falls within the range of what would happen 95% of the time were the coin in fact fair.
• Scargle believes unless both Bayesian and classical p-value analysis agree and both show the same anomalous effects, the kind of result GCP proposes will not be generally accepted.
• Looking up the "z"-score in a table of the standard normal distribution cumulative probability, we find that the probability of observing a standard normal value below −2.47 is approximately 0.5 − 0.4932 = 0.0068.
• to calculate the "p"-value for logistic regression is the likelihood-ratio test (LRT), which for these data give [...] (see [...] below).

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• 5 from the difference between each observed value and its expected value in a 2 &times; 2 contingency table.
• These values can be calculated evaluating the quantile function (also known as "inverse CDF" or "ICDF") of the chi-squared distribution; e.