Here are the essential concepts you must grasp in order to answer the question correctly.
Critical Value
A critical value is a point on the scale of the test statistic beyond which we reject the null hypothesis. It is determined based on the significance level (alpha) and the type of test being conducted. For a left-tailed test, the critical value corresponds to the point where the cumulative probability equals alpha, indicating the threshold for rejecting the null hypothesis.
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Critical Values: t-Distribution
Rejection Region
The rejection region is the range of values for the test statistic that leads to the rejection of the null hypothesis. In a left-tailed test, this region is located to the left of the critical value. If the calculated test statistic falls within this region, it suggests that the sample provides sufficient evidence to reject the null hypothesis at the specified significance level.
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T-Test
A t-test is a statistical test used to determine if there is a significant difference between the means of two groups, or between a sample mean and a known value. It is particularly useful when the sample size is small (typically n < 30) and the population standard deviation is unknown. The type of t-test (one-sample, independent, or paired) depends on the data structure and research question.
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Critical Values: t-Distribution