A researcher sets out to test the hypothesis that the mean of population A is different from the mean of population B. He decides to do a two-tailed t-test, with the null hypothesis that MA = MB and the alternative hypothesis that MA # M.B . The figure below shows the t distribution for his test. The shaded areas indicate the rejection region (that is, the area beyond the critical values, for a = 0.05 ). From his data, he calculates a t statistic of 1.95. He notices that this value is just short of the critical value, but that it is higher than the critical value for a one-tailed test, which is 1.75. Based on this observation, he decides that he really should have done a one-tailed test. He concludes by rejecting the null hypothesis at a significance level of 0.05. What is a more honest value of the significance level of his test? Briefly explain your answer. Edit View Insert Format Tools Table 12pt Paragraph B I U A 2 TV amazon B