The probability of rejecting the null hypothesis when it is true is called:
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The probability of rejecting the null hypothesis when it is true is called type I error.
- Type I error can be described as an error in which a null hypothesis is rejected even though the hypothesis was true.
- Type I error is also referred to as alpha α error.
- The other type of error is referred to as type II Error. In this error, a null hypothesis is not rejected even though the null hypothesis is not correct.
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Answer:
The final answer is Type I error
Step-by-step explanation:
Given: The probability of rejecting the null hypothesis when it is true.
To Find: The probability of rejecting the null hypothesis
Explanation:
When we do a hypothesis test, there are two types of errors: type I and type II. The risks of these errors are inversely related.
- When the null hypothesis is true and we reject it, we create type I error.
- When the null hypothesis is false and we fail to reject it, we create type II error.
- α is called bound on Type I error and β is called bound on type II error.
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