9. When the following hypotheses are being tested at a level of significance of a H_0: μ 500H_a: μ < 500 the null hypothesis will be rejected, if the p-value is (A) ≤ a (B) >a (C) = a / 2 (D) ≤ 1 - a / 2

10. An estimator that has small variance (but may be biased) is called precise. An estimator that has small MSE (Mean squared error) is called accurate. To illustrate: A standard 100-gm mass was weighted many, many times, on scale A. Similarly, on scale B, and finally on scale C. The distribution of measurements is summarized belowScale A: $\mu=100.08, \sigma=0.01$ Scale B: $\mu= 99.98, \sigma=0.02$ Scale C: $\mu=100.00, \sigma=0.05$ Which scale is most precise? Which scale is most accurate? (A) B is most precise, A is most accurate (B) A is most precise, B is most accurate (C) A is most precise and is also most accurate (D) B is most precise and is also most accurate (E) Since the population mean is not given, there is no answer to this question. I

9. When the following hypotheses are being tested at a level of significance of a
$H_0: \mu \ge 500$
$H_a: \mu < 500$
the null hypothesis will be rejected, if the p-value is
(A) \( \leq a \)
(B) \( >a \)
(C) \( = a / 2 \)
(D) \( \leq 1 - a / 2 \)

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相關試卷

9. When the following hypotheses are being tested at a level of significance of a $H_0: \mu \ge 500$$H_a: \mu < 500$ the null hypothesis will be rejected, if the p-value is(A) \( \leq a \)(B) \( >a \)(C) \( = a / 2 \)(D) \( \leq 1 - a / 2 \)

相關試題

相關試卷

9. When the following hypotheses are being tested at a level of significance of a
$H_0: \mu \ge 500$
$H_a: \mu < 500$
the null hypothesis will be rejected, if the p-value is
(A) \( \leq a \)
(B) \( >a \)
(C) \( = a / 2 \)
(D) \( \leq 1 - a / 2 \)