What is the difference between Type I and Type II errors in the context of hypothesis testing?

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What is the difference between Type I and Type II errors in the context of hypothesis testing?
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Type I errors (false positives) occur when we incorrectly reject a null hypothesis. Type II errors (false negatives) occur when we incorrectly fail to reject a null hypothesis. Both are types of errors, but with different consequences.