1. The formula for the normal curve
    1. contains a squared mean deviation score
    2. requires many lines for which to express its complexity
    3. is unknown
    4. is based on both the sine and cosine function
  2. All of the following are true about the normal distribution except that
    1. the closer a value is to the mean, the more frequently it occurs
    2. it is symmetrical
    3. there are more values above the mean than below the mean
    4. the mean and the median are the same value
  3. The primary difficulty in obtaining the true population values, such as for the population mean, is
    1. improper computer analysis
    2. lack of funding
    3. random fluctuation
    4. lack of understanding of statistical principles
  4. When conducting an hypothesis test of the mean, if the distance between the sample mean and the hypothesized mean is large
    1. the margin of error is too large
    2. the margin of error is small
    3. conclude that the data are consistent with, but do not prove, the hypothesized value
    4. reject the hypothesized value as being unreasonable
  5. A population value is

    6. a. directly calculated   b. unknown   c. known   d. of secondary interest  

  6. For the normal distribution, the _____ becomes the natural scale for assessing how far a value is from the mean

    7. a. median   b. interquartile range   c. squared deviation   d. standard deviation  

  7. The ultimate purpose of statistical analysis is collect data, randomly gather a subset of the population, and then
    1. analyze the resulting run chart for process stability
    2. compare order statistics such as the median to other statistics such as the mean
    3. generalize the results to the entire population
    4. calculate the needed summary statistics
  8. The two population values that determine a specific normal distribution are
    1. trimmed mean and range
    2. maximum and minimum
    3. mean and standard deviation
    4. median and range
  9. Sampling error results from the
    1. mistake of not using a random sample
    2. consequence of a poor sampling frame
    3. amount of fluctuation of a statistic calculated from sample to sample
    4. using the median in place of the mean
  10. A standard score or z-value indicates

    11. a. relative position   b. absolute position   c. percentage incorrect   d. percentage correct