Answer clearly with explanation

The t table (i.e., the t distribution) is used in hypothesis testing when we either have few observations in our sample OR we have a sample that is drawn from population that isn't approximately normal. In the case where we have BOTH a small sample and a non-normal population, our best approach is to increase the size of our sample. True FalseUsing either the z or the t table and assuming a fixed value of alpha, there would be less area in the rejection region (i.e., the tail) of a one-tailed hypothesis test than in a two-tailed hypothesis test. True O FalseIn a two-tailed t test with 5% significance, both the lower and upper tail combined contain 5% of the area under the curve. O True O FalseHypotheses using the t table are always one-tailed tests, whereas those using the z table are two-tailed tests. True False