Differentiate between different types of errors
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Key Differences Between Type I and Type II Error
Type I error is an error that takes place when the outcome is a rejection of null hypothesis which is, in fact, true. Type II error occurs when the sample results in the acceptance of null hypothesis, which is actually false.
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