What are Type 1 and Type 2 Errors in Statistics?
What are Type 1 and Type 2 Errors in Statistics?
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CODE Havic @medschoolbro = Mystery Discount Hypothesis Errors Power in 30s Type I (α) = false positive → rejecting H₀ when it’s actually true. Type II (β) = false negative → failing to reject H₀ when H₁ is real. Power = 1 − β → boosted by ↑ sample size, ↑ effect size, ↓ variance. p-value? Just tests how surprising your data is if H₀ were true — not clinical importance. #step1 #step2ck #biostats #epidemiology #usmle #drhavicandbrody | Medschoolbro
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300-200 BC Kugelwange Type Celtic Drachm: 3.1 grams 16mm Obverse: Laureate, bearded head of Zeus right imitating the type of Philip II of Macedon Reverse: Mighty horse prancing left Note: Added a picture of original tag. Batteries not included. | L5
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