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  2. 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]

  3. Bruceton analysis - Wikipedia

    en.wikipedia.org/wiki/Bruceton_analysis

    A Bruceton analysis is one way of analyzing the sensitivity of explosives as described originally by Dixon and Mood in 1948. Also known as the "Up and Down Test" or "the staircase method", a Bruceton analysis relies upon two parameters: first stimulus and step size. A stimulus is provided to the sample, and the results noted.

  4. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    The 'worst-case' sensitivity or specificity must be calculated in order to avoid reliance on experiments with few results. For example, a particular test may easily show 100% sensitivity if tested against the gold standard four times, but a single additional test against the gold standard that gave a poor result would imply a sensitivity of ...

  5. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    The sample size is variable Computers can be used to ease the burden of calculation The "chart" actually consists of a pair of charts: One to monitor the process standard deviation and another to monitor the process mean, as is done with the x ¯ {\displaystyle {\bar {x}}} and R and individuals control charts .

  6. G*Power - Wikipedia

    en.wikipedia.org/wiki/G*Power

    Criterion analyses calculate the required alpha value based on the inputted power, effect size, and sample size. Post hoc analyses find actual power based on the inputted alpha, sample size, and effect size. Lastly, sensitivity analyses find the needed effect size given the alpha value, power, and sample size.

  7. p-chart - Wikipedia

    en.wikipedia.org/wiki/P-chart

    [2]: 277 If the organization elects to only inspect a fraction of units produced, the sample size should be chosen large enough so that the chance of finding at least one nonconforming unit in a sample is high—otherwise the false alarm rate is too high. One technique is to fix sample size so that there is a 50% chance of detecting a process ...

  8. Binomial proportion confidence interval - Wikipedia

    en.wikipedia.org/wiki/Binomial_proportion...

    The probability density function (PDF) for the Wilson score interval, plus PDF s at interval bounds. Tail areas are equal. Since the interval is derived by solving from the normal approximation to the binomial, the Wilson score interval ( , + ) has the property of being guaranteed to obtain the same result as the equivalent z-test or chi-squared test.

  9. McNemar's test - Wikipedia

    en.wikipedia.org/wiki/McNemar's_test

    With these data, the sample size (161 patients) is not small, however results from the McNemar test and other versions are different. The exact binomial test gives p = 0.053 and McNemar's test with continuity correction gives χ 2 {\displaystyle \chi ^{2}} = 3.68 and p = 0.055.