Which Of The Following Statements Is Not True About The Level Of Significance In A Hypothesis Test? Group Of Answer Choices A)The Higher The Significance Level, The More Likely You Are To Reject The Null Hypothesis.

Which of the following statements is not true about the level of significance in a hypothesis test? Group of answer choices A)The higher the significance level, the more likely you are to reject the null hypothesis. B)The significance level is another name for the probability of a Type I error C) The significance level is another name for the probability of a Type II error D) The notation used for is the significance level is α

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Video Transcript

In this question, for statements about level of significance are given, we have to select, which is the false statement from the given 4 statements. So among the 4 statements, the force statement is that the significance level is another name for the probability of a type 2 error. So this is the wrong statement. Hence we can say that option c is the answer. The wrong option is option c. The right statement is that the name of the probability of of a type 2 error is beta, and the name of the probability of a type 1 error is alpha. That is level of significance is denoted by the notation alpha.

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