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

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

Which of the following statements regarding hypothesis test is FALSE?a. There is a trade-off between the probability of Type I and the probability of Type II errors.b.The smaller the significance level, the smaller the probability of a Type I error.c.If the null hypothesis is true, the distribution of the test statistic is standard normal.d.The higher the probability of a type I error, the higher the likelihood that we will retain a false null hypothesis.

Which one of the following statements about the Type I error of hypothesis testing is wrong? a. It is closely related to the significance level of the test. b. It means that we may fail to reject the null hypothesis H0 when H1 is true. c. It means that we may reject the null hypothesis H0 when H0 is actually true. d. Researchers can control the probability of Type I error.

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

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