Glossary

Step 1: Hypotheses

$H_0: p = 0.03$ (county prevalence equals the national rate) - $H_a: p > 0.03$ (county prevalence exceeds the national rate)

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Introductory Statistics — Case Study 2: Medical Screening and the False Positive Paradox — When Proportion Inference Meets Bayes' Theorem

Related Terms

"big data" "Comparing Multiple Groups: ANOVA." "given that..." "Holding other variables constant" "P-value explained properly" "The probability of WHAT given WHAT?" "This treatment cured 90% of patients" $\mu_0$ is NOT in the 95% CI

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