If we conduct a z-test and use the alpha level of p < .05 [and our test is 'non directional,' i.e, we consider values at both ends of the z-score distribution] the
If we conduct a z-test and use the alpha level of p < .05 [and our test is 'non directional,' i.e, we consider values at both ends of the z-score distribution] the value that we calculate for the z-test has to fall inside to be considered rare enough to be statistically significant.
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5% of the lower values (tail of the curve) or 5% of the upper values in the other tail of the curve. |
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The middle 5% of the curve |
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2.5% of the lower values (tail of the curve) or 2.5% of the upper values in the other tail of the curve. |
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The middle 95% of the curve |
If we conduct a test at alpha level of significance . That is, =0.05
Since the level of significance is =0.05.
For the non directional hypothesis , the values are considered at
/2=0.05/2=0.025 level of significance..
The incorrect options are: 1,2&4
5% of the lower values (tail of the curve) or 5% of the upper values in the other tail of the curve.
The middle 5% of the curve.
The middle 95% of the curve
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