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title: What are Type I and Type II errors? | daily.dev
description: A brief explainer on Type I and Type II errors in statistical hypothesis testing. Type I errors (false positives) occur when a true null hypothesis is...
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# What are Type I and Type II errors?

**[Medium](https://daily.dev/sources/medium_js)** · 2 min read · 0 upvotes · 0 comments

## Summary

A brief explainer on Type I and Type II errors in statistical hypothesis testing. Type I errors (false positives) occur when a true null hypothesis is incorrectly rejected, with probability denoted by α. Type II errors (false negatives) occur when a false null hypothesis is not rejected, with probability denoted by β. Key relationships include the trade-off between the two error types, the role of sample size in reducing both, and statistical power defined as 1 − β.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@akdkeerthi2001/what-are-type-i-and-type-ii-errors-6fdf446212db>

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