he main advantage of a one-tailed test over a two-tailed test is that:a smaller critical value must be exceeded.only half of the calculated t value is required.there is only half the risk of a Type I error.only half the calculation is required.

What is the difference between a one-tailed and a two-tailed test? When would you use each (if at all)?

What is the primary difference between a one-tailed and a two-tailed test?  A. The level of significance  B. The number of hypotheses tested  C. The directionality of the hypothesis  D. The sample size

explain Type I and Type II Errors and One Tailed and Two Tailed Test ( not more than two line sentences for each )

A one-tailed test is a hypothesis test in which ___.Group of answer choicesrejection region is in one tail of the sampling distributionrejection region is in both tails of the sampling distributionrejection region is only in the lower tail of the sampling distributionrejection region is only in the upper tail of the sampling distribution

In a two-tailed hypothesis test situation, the test statistic is determined to be t = -2.032. The sample size is 35. The p-value for this test is-.05.+.05.-.10.+.10.