significance level

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significance level

In statistics, the point at which a null hypothesis is rejected. Also known as the "level of significance." Who can identify the significance level in this problem?
See also: level, significance
References in periodicals archive ?
The significance value of the test is smaller than the significance level [alpha] = 0.
While the values of the coefficients remain the same, the overall significance level of the estimates is improved (although the significance level for [[beta].
Of course, statistical software just tells the researcher the significance level without the researcher having to consult actual tables.
02]: Scheme of our proposal is not useful at the significance level ([alpha] = 0.
The reader would be led to believe that Fisher preferred the significance level to be set at p = 0.
Named after Italian mathematician Carlo Emilio Bonferroni (1892-1960) but first attributed to Olive Jean Dunn, the Bonferroni correction compensates for multiple comparisons by dividing the significance level by the number of comparisons.
In effect, the significance level is the bound below which one concludes that the probability of obtaining the observed share is so implausibly small that there is statistical evidence to conclude that [H.
Checking the accuracy of the multiple regression models and of the multiple correlation ratios, based on "Fisher" criterion, it leads to the following conclusion that for the significance level of 5% the multiple regression models is valid.
When results are reported, the statistical test score is provided with the significance level.
According to Table 4, there is a significant relationship in the significance level of spearman correlation test in the field of Iran insurance clients in the dimensions of brand as a product and brand as an organization (Correlation Coefficient 0.
To guide this study, five research questions and hypotheses were raised, stated, answered, and tested at the significance level of 0.
x] denotes the sample estimate of arithmetic mean, s denotes the sample estimate of standard deviation, n denotes the sample size, a denotes the significance level, t denotes the t-distribution, and df denotes the degree of freedom.