The decision rule for a one tail right test: accept the null if Z-calc is less than +Z - critical reject the null if Z-calc is less than + Z - critical accept the alternate if Z-calc is less than + Z - critical do not reject the alternate if Z-calc is less than + Z - critical
Added by Kendra T.
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This value represents the critical value that the Z-calc must exceed in order to reject the null hypothesis. Show more…
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This is a lower tail test, so we are only concerned about the critical value that gives an area of 0.05 in the lower tail. Any test statistic less than or equal to this critical value will result in the null hypothesis being rejected. Use the standard normal table to find the value of z that corresponds to a lower tail area of 0.05, rounding the result to two decimal places. z = 0.01 Therefore, the critical value rejection rule for a level of significance of 0.05, to two decimal places, is as follows. reject H0 if test statistic ≤
Qudsiya A.
The decision rule to reject the null hypothesis in the case of a right tailed t- test is Calculated t critical value must be greater than the t calculated Calculated t test statistic value must be greater than the t critical value Calculated t critical value must be less than the t calculated Calculated t test statistic value must be less than the t critical value
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If you perform an upper tail test, the critical value for your test statistic is: You the null hypothesis in this case, because the test statistic is: Less than the critical value zα Greater than the critical value zα If you perform a two-tailed test, the lower and upper critical values for your test statistic are: -zα/2 = and zα/2 = You the null hypothesis in this case, because the test statistic is: Less than the critical value zα/2 Greater than the critical value zα/2 In between the critical values -zα/2 and zα/2
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