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Binomial Test
A binomial experiment is one with two outcomes. If one of the outcomes is identified as a success with probability on each trial of π, then the probability of r successes in N trials of the experiment is given by P(r) where
- Biographies
- Babbage, Charles
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- Bonferroni, Carlo Emilio
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- Galton, Sir Francis
- Gauss, Carl Friedrich
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- Binomial Test
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- Exploratory Factor Analysis
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- Fisher, Ronald Aylmer
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- Wilcoxon, Frank
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- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
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- Paired Samples t Test (Dependent Samples t Test)
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- t Test for Two Population Means
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- Binomial Test
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- Cochran Q Test
- Dixon Test for Outliers
- Dunn's Multiple Comparison Test
- Excel Spreadsheet Functions
- Fisher Exact Probability Test
- Fisher's LSD
- Friedman Test
- Goodness-of-Fit Tests
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Multiple Comparisons
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- One- and Two-Tailed Tests
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
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- West Haven-Yale Multidimensional Pain Inventory
- Woodcock Johnson Psychoeducational Battery
- Woodcock Reading Mastery Tests Revised
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