![]() Tests for differences between more than one binomial proportion 4.11. Tests for differences between two binomial proportions 4.10. ![]() Calculating confidence intervals for binomial proportions 4.9. Conditional probability: calculating probabilities when events are not independent 4.7. Intuitive methods for calculating probabilities 4.6. Calculating more-complex probabilities 4.4. A philosophical argument for making no adjustments for multiple comparisons 4. When are multiple comparison adjustments not required? 3.9. Summary of multiple comparisons methods 3.8. Is there a minimum acceptable sample size? 2.8. ![]() ![]() ![]() Understanding the t-test: a brief foray into some statistical theory 2.3. A quick guide to interpreting different indicators of variation 1.7. What is the best way to report variation in data? 1.6. Quantifying variation in population or sample data 1.3.
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