Quiz week 2

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What is the alternate hypothesis in a problem where sales group two is predicted to be “. . . significantly less productive than sales group one?” @Answer found in sections 4.3 The One-sample t-Test and 4.4 Hypothesis Testing, in Statistics for Managers (Points : 1)

       HA: μ1 ≠ μ 2        HA: μ 1= μ 2        HA: μ 1> μ2        HA: μ 1< μ 2

Question 2. 2. The desired sample size depends only the size of the population to be tested. (Points : 1)

       True        False

Question 3. 3. The independent t-test is based on which distribution? @Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)

       The distribution of difference scores.        The distribution of sample means.        The distribution of error scores.        The distribution of z.

Question 4. 4. What is the probability of type II error when the null hypothesis is rejected? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers   (Points : 1)

       0.5        0.05        0.025        0  

Question 5. 5. What is the relationship between the power of a statistical test and decision errors? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

       Powerful tests minimize the risk of decision errors.        Powerful tests are more inclined to type II than type I errors.        Powerful tests compensate for decision errors with stronger effect sizes.        Powerful tests minimize type II errors.

Question 6. 6. Random samples always accurately reflect the population they were drawn from. (Points : 1)

       True        False

Question 7. 7. Type I errors may occur with ______ results and type II errors with ______ results. @Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)

       statistically significant, statistically significant        statistically significant, statistically non-significant        statistically non-significant, statistically significant        statistically non-significant, statistically non-significant

Question 8. 8. Large differences in the numerator of a statistical test for differences for means are the only critical factor in determining statistical significance. (Points : 1)

       True        False

Question 9. 9. According to the central limit theorem, a population which is skewed to begin with will still be skewed when it is re-formed as a distribution of sample means. (Points : 1)

       True        False

Question 10. 10. The critical value of t to determine statistical significance depends on the sample size. (Points : 1)

       True        False

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