BUS 308 week 2 test

1. Why do the critical values change with degrees of freedom for the t-tests?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
  (Points : 1)
        Different degrees of freedom define different t distributions.
        Because the critical values are calculated directly from degrees of freedom.
        The degrees of freedom reflect the value of SEM.
        The degrees of freedom are indexed to the M – μM difference.


Question 2. 2. 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 3. 3. How do statistical tests like the one sample t adjust for the absence of parameter values?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
  (Points : 1)
        The values are estimated from sample data.
        The values are assumed to have a constant value.
        The test is reconstructed so that the values aren’t needed.
        The test is reformulated so that data are always normal.


Question 4. 4. 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 5. 5. The mean of the distribution of sample means will have the same value as the mean of the distribution of individual scores upon which it is based. (Points : 1)
        True
        False


Question 6. 6. How does variability in the distribution of sample means compare to variability in a population based on individual scores? (Points : 1)
        Samples tend to vary less than individual scores.
        Samples exaggerate differences among scores.
        Individual scores tend to be more stable over time than samples.
        Sample means vary less than individual scores.


Question 7. 7. 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 8. 8. The critical value of t to determine statistical significance depends on the sample size. (Points : 1)
        True
        False


Question 9. 9. The desired sample size depends only the size of the population to be tested. (Points : 1)
        True
        False


Question 10. 10. 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