What is the significance level of a test?Question 2Answera.The probability of rejecting the null hypothesis when it is falseb.One minus the probability of rejecting the null hypothesis when it is falsec.The probability of rejecting the null hypothesis when it is trued.One minus the probability of rejecting the null hypothesis when it is true
Question
What is the significance level of a test?Question 2Answera.The probability of rejecting the null hypothesis when it is falseb.One minus the probability of rejecting the null hypothesis when it is falsec.The probability of rejecting the null hypothesis when it is trued.One minus the probability of rejecting the null hypothesis when it is true
Solution
The significance level of a test, often denoted by α, is the probability of rejecting the null hypothesis when it is true. This is also known as a Type I error. So, the correct answer is c. The significance level is a threshold set before the test is conducted, often at 0.05 or 5%, which means that there is a 5% risk of rejecting the null hypothesis when it is true.
Similar Questions
Which of the following statements is true regarding the significance level in hypothesis testing?a.It is the probability of a Type 1 errorb.It is the probability of a Type 2 errorc.It is the probability of correctly accepting the null hypothesisd.It is the probability of correctly rejecting the null hypothesisClear my choice
The level of significance in hypothesis testing is the probability of ___.Group of answer choicesrejecting a true null hypothesisaccepting a true null hypothesisaccepting a false null hypothesiscould be any of the above, depending on the situation
Level of significance is the probability of: Group of answer choicesincorrectly rejecting an actually true null hypothesis.incorrectly rejecting an actually true null hypothesis.incorrectly failing to reject an actually false null hypothesis.correctly rejecting an actually false null hypothesis
The level of significance in hypothesis testing refers to ____________________.*1 pointThe probability of making a wrong decisionThe accuracy of the testThe size of the sampleThe precision of the population parameter
What is the p-value in hypothesis testing?*1 pointa. The probability of making a Type I errorb. The probability of rejecting the null hypothesis when it's truec. The probability of failing to reject the null hypothesis when it's falsed. The level of significance for the test
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