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📚 Statistical Inference for Everyone
Chapters ▾
1 Introduction to Probability2 Applications of Probability3 Random Sequences and Visualization4 Introduction to Model Comparison5 Applications of Model Comparison6 Introduction to Parameter Estimation7 Priors, Likelihoods, and Posteriors8 Common Statistical Significance Tests9 Applications of Parameter Estimation and Inference10 Multi-parameter Models11 Introduction to MCMC12 Concluding Thoughts13 Appendix A: Computational Analysis14 Appendix B: Notation and Standards15 Appendix C: Common Distributions and Their Properties16 Appendix D: Tables

14.3 Qualitative labels to probability values

Rough guide for the conversion of qualitative labels to probability values used throughout the book.

termprobability
virtually impossible1/1,000,000
extremely unlikely0.01 (i.e. 1/100)
very unlikely0.05 (i.e. 1/20)
unlikely0.2 (i.e. 1/5)
slightly unlikely0.4 (i.e. 2/5)
even odds0.5 (i.e. 50-50)
slightly likely0.6 (i.e. 3/5)
likely0.8 (i.e. 4/5)
very likely0.95 (i.e. 19/20)
extremely likely0.99 (i.e. 99/100)
virtually certain999,999/1,000,000

Adapted from Statistical Inference for Everyone, by Brian Blais (Bryant University), licensed under CC BY-SA 4.0 (dual-licensed under the GNU FDL 1.2 or later; this adaptation uses the CC BY-SA grant). Changes were made; this adaptation is distributed under the same license. License: CC-BY-SA-4.0.