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 left-tailed test, it is the z-score that corresponds to the specified level of significance (α). In this case, with α = 0.02, the critical value indicates the point below which we would reject the null hypothesis, helping to define the rejection region.
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Rejection Region
The rejection region is the range of values for which the null hypothesis is rejected. In a left-tailed test, this region lies to the left of the critical value on the z-distribution. For α = 0.02, the rejection region includes all z-scores less than the critical value, indicating that if the test statistic falls within this region, we conclude that the sample provides sufficient evidence to reject 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 measures how many standard deviations an element is from the mean. In this context, the z-test is applied to assess whether the sample data significantly deviates from the hypothesized population mean under the specified significance level.
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