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  2. Dunnett's test - Wikipedia

    en.wikipedia.org/wiki/Dunnett's_test

    When calculating one sided upper (or lower) confidence interval for the true value of the difference between the mean of the treatment and the control group, constitutes the probability that this actual value will be less than the upper (or greater than the lower) limit of that interval. When calculating two-sided confidence interval ...

  3. 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.

  4. Rule of three (statistics) - Wikipedia

    en.wikipedia.org/wiki/Rule_of_three_(statistics)

    Comparison of the rule of three to the exact binomial one-sided confidence interval with no positive samples. In statistical analysis, the rule of three states that if a certain event did not occur in a sample with n subjects, the interval from 0 to 3/ n is a 95% confidence interval for the rate of occurrences in the population.

  5. Interval estimation - Wikipedia

    en.wikipedia.org/wiki/Interval_estimation

    Differentiating between two-sided and one-sided intervals on a standard normal distribution curve. Two-sided intervals estimate a parameter of interest, Θ, with a level of confidence, γ, using a lower and upper bound (). Examples may include estimating the average height of males in a geographic region or lengths of a particular desk made by ...

  6. Student's t-distribution - Wikipedia

    en.wikipedia.org/wiki/Student's_t-distribution

    Calculating the confidence interval. Let's say we have a sample with size 11, sample mean 10, and sample variance 2. For 90% confidence with 10 degrees of freedom, the one-sided t value from the table is 1.372 . Then with confidence interval calculated from

  7. Confidence distribution - Wikipedia

    en.wikipedia.org/wiki/Confidence_Distribution

    Classically, a confidence distribution is defined by inverting the upper limits of a series of lower-sided confidence intervals. [15] [16] [page needed] In particular, For every α in (0, 1), let (−∞, ξ n (α)] be a 100α% lower-side confidence interval for θ, where ξ n (α) = ξ n (X n,α) is continuous and increasing in α for each sample X n.

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  9. Sign test - Wikipedia

    en.wikipedia.org/wiki/Sign_test

    alternative =indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less" conf.level = confidence level for the returned confidence interval. Examples of the sign test using the R function binom.test The sign test example from Zar [5] compared the length of hind legs and forelegs of deer. The hind leg was longer than ...