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  2. Statistical significance - Wikipedia

    en.wikipedia.org/wiki/Statistical_significance

    More precisely, a study's defined significance level, denoted by , is the probability of the study rejecting the null hypothesis, given that the null hypothesis is true; [4] and the p-value of a result, , is the probability of obtaining a result at least as extreme, given that the null hypothesis is true. [5]

  3. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  4. p-value - Wikipedia

    en.wikipedia.org/wiki/P-value

    In this method, before conducting the study, one first chooses a model (the null hypothesis) and the alpha level α (most commonly 0.05). After analyzing the data, if the p -value is less than α , that is taken to mean that the observed data is sufficiently inconsistent with the null hypothesis for the null hypothesis to be rejected.

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    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. This test is logically equivalent to saying that the p-value is the probability, assuming the null hypothesis is true, of observing a result at least ...

  6. Level of analysis - Wikipedia

    en.wikipedia.org/wiki/Level_of_analysis

    Level of analysis is used in the social sciences to point to the location, size, or scale of a research target. It is distinct from unit of observation in that the former refers to a more or less integrated set of relationships while the latter refers to the distinct unit from which data have been or will be gathered.

  7. Confidence interval - Wikipedia

    en.wikipedia.org/wiki/Confidence_interval

    A 95% confidence level does not mean that 95% of the sample data lie within the confidence interval. A 95% confidence level does not mean that there is a 95% probability of the parameter estimate from a repeat of the experiment falling within the confidence interval computed from a given experiment. [25]

  8. Oklahoma officer charged for slamming 71-year-old man to the ...

    www.aol.com/news/oklahoma-officer-charged...

    Prosecutors charged an Oklahoma City police officer with felony assault on Thursday after he slammed a 71-year-old man to the ground, breaking his neck, following an argument over a traffic ticket.

  9. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    ("This is a specific test. Because the result is positive, we can confidently say that the patient has the condition.") See sensitivity and specificity and type I and type II errors for exhaustive definitions. Significance level of a test (α) p-value; Statistical significance test: A predecessor to the statistical hypothesis test (see the ...