STAT 701-Exam 2

  1. The primary difference between a one mean t and one mean Z test is that the



    (D) Z test requires knowledge of  while the t test does not.
  2. A test that, under violation of some underlying assumption, produces a Type I error rate that is similar to the rate that would have been realized had no violation occurred is said to be



    (A) robust.
  3. A Type I error occurs when a



    (D) true null hypothesis is rejected.
  4. The probability of committing a Type II error is symbolized by



    (d) 1-β
    (B)  β
  5. Suppose that researcher A uses a one mean t test to test the hypothesis Image Upload 2 : μ = 50 against the alternative Image Upload 4 : μ > 50 at α= .05. The result is that the null hypothesis is rejected. Suppose further that researcher B using the same data tests the same hypotheses but chooses α = .01.Which of the following is true concerning researcher B's test?



    (B) It is not possible to know whether researcher B rejects or fails to reject.
  6. Suppose researcher A forms a two-sided 95 percent confidence interval to estimate μ (the population mean). The result is L = .30 and U = .60.Researcher B, using the same data, performs a two-tailed test of the null hypothesis μ = .45. Which of the following is true concerning the result of the hypothesis test?



    (B) Researcher B fails to reject the null hypothesis.
  7. Confidence intervals are used to estimate



    (C) parameters.
  8. 14. A paired samples t test may be thought of as which of the following?



    (A) A one mean t test conducted on a set of difference scores.
  9. In a study designed to compare a non-invasive method of monitoring dermal interstitial glucose with an invasive method of monitoring capillary blood glucose, one glucose assessment of each type was made on each of 50 Type I diabetic subjects. After performing paired samples t tests on a number of glucose measures and finding non-significance for each, the authors report, “There was no difference in a variety of glucose measurements including the mean glucose excursion, peak concentration and time course to maximal levels.”

    Do you believe this was a proper interpretation of the results of their statistical tests? Why so?



    (A) No, because the researchers had no way of knowing what the Type II error rate for their tests was.
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STAT 701-Exam 2
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Practice exam questions for STAT 701 Exam 2
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