State the appropriate null and altemate hypotheses. Ho This hypothesis test is a (Choose one) test. left-tailed right-tailed two-tailed

If your claim is in the alternative hypothesis and you fail to reject the null hypothesis, then your conclusion would be (pick an option): There is sufficient evidence to warrant rejection of the original claim The sample data support the original claim There is not sufficient evidence to warrant rejection of the original claim There is not sufficient sample evidence to support the original claim

None

If we perform a paired t test and retain the null hypothesis, then what does this mean if we made measurements on each subject before and after a particular treatment? Group of answer choices There is NO difference in outcomes before and after the treatment was given There is a difference in outcomes before and after the treatment was given

Data shows that 11% of fatal vehicle accidents involved large trucks. A statistician for an insurance company believes that is higher than 11%. The statistician randomly selected 200 fatal vehicle accidents and finds that 26 involve large trucks. Is the statistician correct? What is the test statistic for this hypothesis test? Data shows that 11% of fatal vehicle accidents involved large trucks. A statistician for an insurance company believes that is higher than 11%. The statistician randomly selected 200 fatal vehicle accidents and finds that 26 involve large trucks. Is the statistician correct? What is the test statistic for this hypothesis test?  0.9040  0.1830  0.3660  0.8170

Which of the following statements are TRUE? I. Increasing the significance level of a test will increase the chance of erroneously rejecting a true null hypothesis. II. Increasing the significance level of a test will increase the chance of erroneously failing to reject a false null hypothesis. Only statement I is true. Neither statement is true. Only statement II is true. Both statements are true.

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