Find the critical value(s) and rejection region(s) for the indicated \( t \)-test, level of significance \( \alpha \), and sample size \( n \). Left-tailed test, \( \alpha=0.025, n=17 \) Click the icon to view the \( t \)-distribution table. The critical value(s) is/are -2.120 . (Round to the nearest thousandth as needed. Use a comma to separate answers as needed.) Determine the rejection region(s). Select the correct choice below and fill in the answer box(es) within your choice. (Round to the nearest thousandth as needed.) A. \( 1> \) \( \square \) B. \( \mathrm{t}< \) \( \square \) and \( \mathrm{t}> \) \( \square \) C. \( \mathrm{t}< \) \( \square \) D. \( \square \) < \( < \) \( \square \)
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The critical value for a left-tailed test with a significance level of \( \alpha = 0.025 \) and a sample size of \( n = 17 \) (which gives us \( df = n - 1 = 16 \)) is indeed \( -2.120 \). This means we are looking at the left side of the \( t \)-distribution for our rejection region. The rejection region for this left-tailed test would be described by option C. So, we have: C. \( \mathrm{t} < -2.120 \) This implies that if the calculated \( t \)-value from your sample is less than \( -2.120 \), you would reject the null hypothesis. Happy hypothesis testing!