Calculating power of test against Type II alternative

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Reference no: EM1318657

Q1) Report of a study of seat belt use by drivers says, "Hispanic drivers were not considerably more likely than White/non-Hispanic drivers to over report safety belt use (27.4 vs. 21.1%, respectively; z = 1.33, P > 1.0." How do you know that P-value given is wrong? Determine the correct one-sided P-value for test statistics=1.33?

Q2) Another student, when asked why statistical significance appears so often in research reports, says, "Because saying that results are significant tells us that they cannot easily be explained by chance variation alone." Do you think that this statement is essentially correct? Explain your answer.

Q3) You read that statistical test at α=0.01 level has probability 0.14 of making a Type II error when specific alternative is true. Calculate the power of test against this alternative?

Reference no: EM1318657

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