The Two-proportion Z-test (or, Two-sample proportion Z-test) is a statistical method used to determine whether the difference between the proportions...
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A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution...
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50% proportion). Chi-squared tests use the same calculations and the same probability distribution for different applications: Chi-squared tests for variance...
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Pearson's chi-squared test Student's t-test#Two-sample_t-tests Welch's t-test Tukey–Duckworth test Mann–Whitney U test Two-proportion Z-test A/B testing v t e...
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bandit Multivariate testing Randomized controlled trial Scientific control Stochastic dominance Test statistic Two-proportion Z-test Young, Scott W. H....
28 KB (3,033 words) - 14:35, 14 June 2025
In statistics, a binomial proportion confidence interval is a confidence interval for the probability of success calculated from the outcome of a series...
42 KB (6,213 words) - 02:14, 20 May 2025
binomial test is a statistical hypothesis test used to determine whether the proportion of successes in a sample differs from an expected proportion in a...
12 KB (1,886 words) - 16:43, 16 February 2025
known and calculated from data, an accuracy comparison test could be made using "Two-proportion z-test, pooled for Ho: p1 = p2". Not used very much is the...
21 KB (3,297 words) - 16:56, 25 May 2025
permutation test (also called re-randomization test or shuffle test) is an exact statistical hypothesis test. A permutation test involves two or more samples...
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from two populations have the same distribution. Nonparametric tests used on two dependent samples are the sign test and the Wilcoxon signed-rank test. Although...
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The logrank test, or log-rank test, is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate...
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If the test statistic T is reported, an equivalent way to compute the rank correlation is with the difference in proportion between the two rank sums...
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by the precision of the z-buffer. It can also vary as the scene or camera is changed, causing one polygon to "win" the z test, then another, and so on...
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the proportion of substitutions that resulted from positive selection (also known as directional selection). To do this, the McDonald–Kreitman test compares...
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hypothesis testing when conducting multiple comparisons. FDR-controlling procedures are designed to control the FDR, which is the expected proportion of "discoveries"...
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hypothesis. When the test is applied to a contingency table containing two rows and two columns, the test is equivalent to a Z-test of proportions.[citation...
40 KB (5,767 words) - 05:36, 19 May 2025
The Miller–Rabin primality test or Rabin–Miller primality test is a probabilistic primality test: an algorithm which determines whether a given number...
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test is primarily used to examine whether two categorical variables (two dimensions of the contingency table) are independent in influencing the test...
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Sample size determination (redirect from Required sample sizes for hypothesis tests)
is more than z α σ / n {\displaystyle z_{\alpha }\sigma /{\sqrt {n}}} ' is a decision rule which satisfies (2). (This is a 1-tailed test.) In such a scenario...
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Golden ratio (redirect from Divine proportion)
ratio was called the extreme and mean ratio by Euclid, and the divine proportion by Luca Pacioli; it also goes by other names. Mathematicians have studied...
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the proportion of data values within z standard deviations of the mean is defined by: Proportion = erf ( z 2 ) {\displaystyle {\text{Proportion}}=\operatorname...
59 KB (8,235 words) - 23:08, 17 June 2025
The Turing test, originally called the imitation game by Alan Turing in 1949, is a test of a machine's ability to exhibit intelligent behaviour equivalent...
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Q R S T U V W X-Z See also References External links Safe failure fraction (SFF) A term used in functional safety for the proportion of failures that...
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Sensitivity and specificity (redirect from Sensitivity (test))
statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical condition. If individuals...
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68–95–99.7 rule (section Normality tests)
z 2 2 d z ≈ 0.6826894921 Pr ( μ − 2 σ ≤ X ≤ μ + 2 σ ) = 1 2 π ∫ − 2 2 e − z 2 2 d z ≈ 0.9544997361 Pr ( μ − 3 σ ≤ X ≤ μ + 3 σ ) = 1 2 π ∫ − 3 3 e − z...
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pandemic. The two main types of tests detect either the presence of the virus or antibodies produced in response to infection. Molecular tests for viral presence...
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Multiple comparisons problem (redirect from Multiple testing)
preferred. The FDR, loosely defined as the expected proportion of false positives among all significant tests, allows researchers to identify a set of "candidate...
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of a hypothesis test, a "proportion z-test", for the value of p using x/n, the sample proportion and estimator of p, in a common test statistic. For example...
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Binary classification (redirect from Binary test)
precision) (TP/(TP+FP)). These are the proportion of the population with a given test result for which the test is correct. with complement the false discovery...
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Checking whether a coin is fair (category Statistical hypothesis testing)
toss)? E = Z 2 n {\displaystyle E={\frac {Z}{2\,{\sqrt {n}}}}} E = Z 2 10000 = Z 200 {\displaystyle E={\frac {Z}{2\,{\sqrt {10000}}}}={\frac {Z}{200}}} E...
17 KB (2,521 words) - 14:51, 29 April 2025