QuestionWhich of the following is/are True? The level of significance of a test depends on the value of the sample statistic. The level of significance depends on the alternative hypothesis. The level of significance is generally set in advance before samples are drawn The level of significance is the probability of rejecting a null hypothesis when it is in fact true.

Studdy Solution
Evaluate the statement: "The level of significance is the probability of rejecting a null hypothesis when it is in fact true."
This statement is the definition of the level of significance, which is the probability of committing a Type I error.
Conclusion: True
The True statements are:
- The level of significance is generally set in advance before samples are drawn. - The level of significance is the probability of rejecting a null hypothesis when it is in fact true.