1. Compared to a run chart, a time series chart usually applies to
    1. uses dates instead of times to label the horizontal axis
    2. the analysis of process stability
    3. data that indicates increasing variability over time
    4. the analysis of more general outcomes, such as annual GNP
  2. Which of the following is a problem associated with using only the mean to represent central tendency?
    1. It is more influenced by extreme scores than the median and mode.
    2. It can only be used in inferential statistics.
    3. It is inappropriate when the distribution is normal.
    4. It has more variability associated with it than the median and mode.
  3. To plot the output of a process operating over time, use a
  4. a. bar chart   b. means chart   c. run chart   d. scatterplot  

  5. An assignable cause
    1. results from common cause variation
    2. eliminates outliers
    3. results in a process change
    4. cannot be easily detected
  6. Where "n" is sample size, the degrees of freedom for the standard deviation is
  7. a. n   b. n/2   c. n-1   d. n-2  

  8. The standard deviation is based on the concept of the
  9. a. trimmed mean   b. squared deviation   c. weighted mean   d. average deviation  

  10. Without doing computations, which set of data values has the highest standard deviation?
    1. 2, 7, 7, 7, 8, 8, 13
    2. 2, 6, 7, 8, 9, 10, 48
    3. 107, 108, 109, 110, 113, 115, 117
    4. 100, 100, 101, 102, 103, 104, 104
  11. Analysis of the mean deviation shows that the
    1. the degrees of freedom can be ignored
    2. variance is based on the median
    3. weighted mean is often preferred
    4. mean is the balance point of all the data values
  12. Which of the following sets of scores is a perfectly symmetrical and unimodal distribution?
  13. a. 1,6,7,8,8,8,8,9,10,11   b. 6,7,8,9,10   c. 1,1,2,2,3,4,4,5,5   d. 1,2,3,3,4,5  

  14. The distinction between a level shift and trend is the distinction between
    1. common cause versus assignable cause
    2. mean versus median
    3. location versus variability
    4. sudden versus gradual change