# Type I and Type II Errors - statistics

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What is a type I and type II errors in hypothesis testing? What would be examples of each? Explain

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The solution comprises of a detailed discussion on Type I and Type II errors in hypothesis testing.

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In hypothesis testing, a Type-I error is the incorrect rejection of a true null hypothesis. A Type-II error is the failure to reject a false null hypothesis.

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