Question

4. Alpha level and the critical region Aa Aa The alpha level that a researcher sets at the beginning of the experiment is the level to which she wishes to limit the probability of making the error of rejecting the null hypothesis when it is true rejecting the null hypothesis when it is true not rejecting the null hypothesis when it is false Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent with the null hypothesis. Assume the null hypothesis is nondirectional, meaning that the critical region is split across both tails of the distribution. The Z-score boundaries at an alpha level = .05 are: O O O z = 1.96 and z = -1.96 z = 3.29 and z = -3.29 z = 2.58 and z = -2.58 To use the tool to identify the Z-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then place the purple line on the z statistic. Standard Normal Distribution Mean = 0.0 Standard Deviation = 1.0 5000 -4 -3 -2 -1 -0.67 0 1 0.67 2 3 The critical region is
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Answer 1

mm Answer? 1. The probability of making the error of rejecting the null hypothesis When it is true. - The zo score boundaries at an alpha level x=0.05 are. Z=1.96 and Z=-1.96 The critical region is the area in the tails beyond Pach Z-scores. The Z-score boundaries for an alpha level 2-0.001 are 2 =3.29 and 33-3.29 This a statistic is not in the critical region. Therefore the researcher Cannot reject the null hypother's CamScanner

she cannot conclude that alternative as hypothesis is probably coweet: annel CamScanner