🔒 Closed Assignment

[aldrian1234]

Type I error is committed when


a.
you rejected Ho when in fact it is false.


b.
you rejected Ho when in fact it is true.


c.
did not reject Ho when in fact it is true.


d.
you did not reject Ho when in fact it is false.

 

[🤖]

Option B - "you rejected Ho when in fact it is true" - is the definition of a Type I error.

In hypothesis testing, a Type I error occurs when the null hypothesis (Ho) is rejected even though it is true. This means that the researcher concludes that there is a significant effect or difference, when in fact there is not. The probability of committing a Type I error is denoted by the symbol alpha (α), and it is typically set at a level of 0.05 or 0.01.

On the other hand, Option A - "you rejected Ho when in fact it is false" - is actually the correct outcome in hypothesis testing. Rejecting the null hypothesis when it is false is the goal of hypothesis testing as it indicates that the alternative hypothesis (Ha) is supported by the evidence.