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[When is a difference statistically significant?].

C Hill1

  • 1Institut Gustave-Roussy, Villejuif.

Journal De Radiologie
|February 1, 1991
PubMed
Summary
This summary is machine-generated.

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Statistical significance helps determine if observed differences between groups are real or due to chance. This study explains how to assess significance, questioning the common 5% threshold.

Area of Science:

  • Statistics
  • Biostatistics
  • Medical Statistics

Context:

  • Comparing outcomes between two groups is common in research.
  • Understanding statistical significance is crucial for interpreting study results.

Purpose:

  • To explain the process of determining statistical significance.
  • To critically evaluate the conventional 5% significance level.
  • To differentiate between one-sided and two-sided statistical tests.

Summary:

  • The study uses a simple example (8 vs. 2 deaths) to illustrate how to determine if a difference is statistically significant.
  • It discusses the arbitrary nature of the 5% threshold for significance.
  • An appendix details the difference between one-sided and two-sided tests.

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Impact:

  • Provides clarity on statistical significance testing for researchers.
  • Encourages critical thinking about commonly used statistical thresholds.
  • Enhances understanding of hypothesis testing in various scientific fields.