Here are the essential concepts you must grasp in order to answer the question correctly.
Critical Value
The critical value is a threshold that determines the boundary for rejecting the null hypothesis in hypothesis testing. For a right-tailed z-test, it is the z-score that corresponds to the specified level of significance (α). In this case, with α = 0.025, the critical value indicates the point beyond which the null hypothesis will be rejected.
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Rejection Region
The rejection region is the area in the tail of the distribution where, if the test statistic falls, the null hypothesis is rejected. For a right-tailed test with α = 0.025, the rejection region is located to the right of the critical value. This region represents the outcomes that are statistically significant, indicating strong evidence against the null hypothesis.
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Z-Test
A z-test is a statistical test used to determine if there is a significant difference between sample and population means when the population variance is known. It utilizes the standard normal distribution to calculate the z-score, which helps in comparing the sample mean to the population mean. In this context, the z-test is applied to assess the hypothesis under the specified significance level.
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