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Articles on One-Sided Statistical Tests

Articles on one-sided significance tests and confidence intervals. Learn what is a one-tailed test, when it is required in practical and theoretical research.

  • One-sided statistical tests are just as accurate as two-sided tests
  • The paradox of one-sided vs. two-sided tests of significance
  • Directional claims require directional statistical hypotheses
  • A p-value is meaningless without a specified null hypothesis
  • When is a one-sided hypothesis required?
  • 12 myths about one-tailed vs. two-tailed tests of significance
  • Examples of improper use of two-sided hypotheses
  • Fisher, Neyman & Pearson - advocates for one-sided tests and confidence intervals
  • Proponents of one-sided statistical tests
  • Examples of negative portrayals of one-sided significance tests
  • Is the widespread usage of two-sided tests a result of a usability issue?
  • Reasons for misunderstanding and misapplication of one-sided tests
  • Refining statistical guidelines and requirements for one-sided tests
  • The hidden costs of bad statistics in clinical research

Articles
One-sided statistical tests are just as accurate as two-sided tests The paradox of one-sided vs. two-sided tests of significance Directional claims require directional statistical hypotheses A p-value is meaningless without a specified null hypothesis When is a one-sided hypothesis required? 12 myths about one-tailed vs. two-tailed tests of significance Examples of improper use of two-sided hypotheses Fisher, Neyman & Pearson - advocates for one-sided tests and confidence intervals Proponents of one-sided statistical tests Examples of negative portrayals of one-sided significance tests Is the widespread usage of two-sided tests a result of a usability issue? Reasons for misunderstanding and misapplication of one-sided tests Refining statistical guidelines and requirements for one-sided tests The hidden costs of bad statistics in clinical research

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