Following are the key points described later in this article:
- What is Type I Error?
- What is Type II Error?
What is Type I Error?
Hypothesis Test: Whether Swine Flu is diagnosed?
What is Type II Error?
In case of Swine Flu example, if the person having breathing problem fails to reject the Null hypothesis, and does not go for H1N1 diagnostic tests, when he should actually have rejected. This may prove fatal to life in case the person is actually suffering from Swine Flu.
Type I Error & Type II Error Explained with Diagram
Given the diagram above, one could observe following two scenarios:
- Type I Error: When one rejects the Null Hypothesis (H0) given that H0 is true, one commits Type I error. It can also be termed as false positive.
- Type II Error: When one fails to reject the Null hypothesis when it is actually false or does not hold good, one commits Type II error. It can also be termed as false negative.
- In other cases when one rejects the Null Hypothesis when it is false or not true, and when fails to reject the Null hypothesis when it is true is correct decision.
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