英語 での Significance level の使用例とその 日本語 への翻訳
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If the probability that an event occurs is less than the significance level, the usual interpretation is that the results are statistically significant, and you reject H0.
Here we see that Lambda(0.023) is associated to a p-value that is much lower than the significance level alpha(0.05).
Because the p-value of 0.275 is greater than the significance level of 0.05, you fail to reject the null hypothesis and cannot conclude that the standard deviation is different from 1.
For the Dunn and the Conover-Iman methods, to take into account the fact that there are k(k-1)/2 possible comparisons, the correction of the significance level proposed by Bonferroni can be applied.
For example, the p-value for the F-statistic coefficient of x2 is 0.08078, and is not significant at the 5% significance level given the other terms in the model.
A common practice is to extract the smallest number of factors for which the van der Voet significance level exceeds 0.10 SAS Institute Inc 2017d; Tobias 1995.
As a reminder, choosing a significance level of 0.05 is the same as deciding that we want to be right in 95% of cases(and wrong in 5% of cases) when rejecting H0.
The significance level is a threshold specified by the user and is a trade-off between the tolerance for false positives and the number of visitors that have to be included in the test.
As a reminder, choosing a significance level of 0.05 is the same as deciding that we want to be right in 95% of cases(and wrong in 5% of cases) when rejecting H0.
A significance level of 0.05 indicates a 5% risk of concluding that the data do not follow a normal distribution when the data do follow a normal distribution.
A common practice is to extract the smallest number of factors for which the van der Voet significance level exceeds 0.10 SAS Institute Inc, 2011 and Tobias, 1995.
Each time you compare two offers the chance of getting a false positive(observing a statistically significant difference even when there is no difference in conversion rate) is equal to the significance level.
The significance level α can also be modified.
Is that based on a 5% significance level?
Thus, the null hypothesis can be rejected at the 1% significance level.
To determine whether variables are independent, compare the p-value to the significance level.
Test at the 1% significance level whether the company's claim is true.
Usually, a significance level(denoted as α or alpha) of 0.05 works well.
The probability of making a type 1 error is exactly the same as the significance level.
All the coefficients appear to be significant at a 0.05 significance level(values in bold).