What type of error occurs when a null hypothesis is wrongly rejected?Type I ErrorType II ErrorStandard ErrorSampling Error
Question
What type of error occurs when a null hypothesis is wrongly rejected?
- Type I Error
- Type II Error
- Standard Error
- Sampling Error
Solution
Identification of the Error Types
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Type I Error: This occurs when the null hypothesis is true, but we incorrectly reject it. It is also known as a false positive.
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Type II Error: This occurs when the null hypothesis is false, but we fail to reject it. It is referred to as a false negative.
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Standard Error: This is a measure of the variability of a sample statistic and is not associated with hypothesis testing errors.
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Sampling Error: This refers to the error caused by observing a sample instead of the whole population. It is not related to hypothesis testing directly.
Conclusion
The type of error that occurs when a null hypothesis is wrongly rejected is called a Type I Error.
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