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ICAR JRF Microbiology 29 Jun 2024Shift 1
MCQ (Single Correct)
+4
−1
Type Il error arises during statistical analysis when an investigator does
EXPLANATION
Spectroscopy, Mass Spectrometry, & Radioisoto
- Type I and Type II Errors in Statistical Hypothesis Testing:
- Null Hypothesis ($H_0$): The default assertion that there is no true difference or effect.
- Type I Error ($\alpha$): Rejecting the null hypothesis ($H_0$) when it is actually true (false positive).
- Type II Error ($\beta$): Failing to reject (accepting) the null hypothesis ($H_0$) when it is actually false (false negative).
- Decision Matrix:
- $H_0$ True & Accept $H_0$: Correct decision ($1 - \alpha$).
- $H_0$ True & Reject $H_0$: Type I Error ($\alpha$).
- $H_0$ False & Reject $H_0$: Correct decision / Power of test ($1 - \beta$).
- $H_0$ False & Accept $H_0$: Type II Error ($\beta$).
- Conclusion: Type II error arises when the investigator accepts the null hypothesis when it is false (Option 3).
Correct option: (3) Accept null hypothesis when itis false
Explanation not matching this question?
क्या व्याख्या इस प्रश्न से मेल नहीं खा रही?
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