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significance level vs statistical significance

Both "significance level" and "statistical significance" are correct phrases, but they are used in different contexts. "Significance level" refers to the threshold at which a result is considered statistically significant, while "statistical significance" is the concept of whether a result is likely to be true or not due to chance.

Last updated: April 01, 2024 • 562 views

significance level

This phrase is correct and commonly used in statistics.

The significance level is the threshold set to determine whether the results of a study are statistically significant.
  • Statistical significance level is 0,05 for all endpoints included.
  • The hypothesis shall be tested on the basis of a 5 per cent significance level of the F and t values.
  • Significance level at α =0.05.
  • F-test, 5 % significance level).
  • This trend (0.12C per decade) is positive, but not significant at the 95% significance level.
  • The statistical significance of all tests indicated is judged at the 0,05 significance level.
  • A power analysis to estimate a sample size capable of detecting a pre-specified biologically relevant effect size with a specified power and significance level should be used.
  • The positive trend is quite close to the significance level. Achieving statistical significance in scientific terms is much more likely for longer periods, and much less likely for shorter periods.
  • The hypothesis shall be tested on the basis of a 5 % significance level of the F and t values. The critical F and t values for 7 to 10 sample pairs are given in the table below.
  • The statistical test used for this sort of comparison is the Chi-squared, which reveals differences between samples and evaluates the significance level of the their differences.

Alternatives:

  • alpha level
  • critical value

statistical significance

This phrase is also correct and commonly used in statistics.

Statistical significance refers to the likelihood that a result is not due to chance and is a true effect.
  • All endpoints reached statistical significance for HPV-16.
  • Those groups attaining statistical significance should be identified.
  • Examples of well-documented changes which would not normally justify classification with R48, irrespective of their statistical significance, include:
  • The primary time point analysis after 3 years did not reach statistical significance for all pre-specified endpoints.
  • In the prospectively defined primary analysis statistical significance was not reached at the primary efficacy endpoint at week 24.
  • Strength of evidence involves the enumeration of tumours in human and animal studies and determination of their level of statistical significance.
  • The statistical significance of the fuel consumption correction coefficient is to be judged by the Technical Service.
  • Threshold for statistical significance = 0.0175 *PSA:
  • Although all outcome measures compared to placebo were in favour of Sativex, they did not reach statistical significance.
  • A CCP shall consider the appropriate historical time horizons for its back testing programme to ensure that the observation window used is sufficient enough to mitigate any detrimental effect on the statistical significance.
  • The statistical significance of all tests indicated is judged at the 0,05 significance level.
  • For the 10 individual HPV types, statistical significance was only reached for HPV 31.
  • Placebo/ valdecoxib treatment was also associated with a higher incidence of CV thromboembolic events versus placebo treatment, but this difference did not reach statistical significance.
  • In a sterile, biosafety level 2 cell culture hood, place 0.8 mmpore PET transwell inserts into a 24-well plate (4 wells per condition, for statistical significance) with forceps.
  • However, the strength of the dose-response, the statistical significance and the consistency of the solvent/vehicle and PC responses may also be used when determining whether a borderline result is declared positive (4) (5) (6).
  • The positive trend is quite close to the significance level. Achieving statistical significance in scientific terms is much more likely for longer periods, and much less likely for shorter periods.
  • Statistical methods may be used as an aid in evaluating the test results. However, statistical significance should not be the only determining factor for a positive response.
  • The decision process with regard to a positive response includes a stimulation index >=3 together with consideration of dose-response and, where appropriate, statistical significance (3)(6)(8)(12)(14).
  • It is easy to get wrapped up in discussions of statistical significance when reading research, but it is important to remember that a statistically significant result does not necessarily mean that the outcomes are important or relevant to the public.
  • In order to accurately determine the statistical significance the formula should however also take into account the need to evaluate the mass of the motor generator as compared to the mass of the baseline alternator (i.e. 7 kg).

Alternatives:

  • statistically significant
  • significant at the 0.05 level

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