
1   The cumulative percentages of a frequency table have little or no meaning for ________ data. 
  A)  nominal 
  B)  ordinal 
  C)  interval 
  D)  ratio 
  E)  any scale 



2   The only legitimate measure of central tendency for nominal scale data distributions is the: 
  A)  mean 
  B)  median 
  C)  mode 



3   The category with the largest nsize or the peak of a distribution defines the: 
  A)  mean 
  B)  median 
  C)  mode 



4   The mean is ________ an inappropriate measure of central tendency or most typical value for ordinal data. 
  A)  always 
  B)  often 
  C)  sometimes 
  D)  rarely 
  E)  never 



5   If the data are arrayed from the lowest to the highest value, the value in the middle would be the: 
  A)  mean 
  B)  median 
  C)  mode 



6   The distance from the 25th percentile to the 75th percentile of a distribution is known as the: 
  A)  standard deviation 
  B)  range of the distribution 
  C)  interquartile range 
  D)  middle spread 



7   The coefficient of ________ is a measure of the shape of a distribution. 
  A)  skewness 
  B)  kurtosis 
  C)  both skewness and kurtosis 
  D)  neither skewness nor kurtosis 



8   A distribution that leans sharply to the left (low side) and tails far out to the right has: 
  A)  positive skewness 
  B)  negative skewness 
  C)  positive kurtosis 
  D)  negative kurtosis 



9   A distribution with positive kurtosis has ________ than a normal distribution. 
  A)  more cases in the center and fewer in the tails 
  B)  fewer cases in the center and more in the tails 



10   If a distribution has negative skewness, in what order (lowest to highest) will the averages be? 
  A)  mean, mode, median 
  B)  mean, median, mode 
  C)  mode, median, mean 
  D)  median, mode, mean 
  E)  mode, median, mean 



11   Which average is most sensitive to extreme values? 
  A)  mean 
  B)  median 
  C)  mode 



12   If the coefficient of kurtosis is negative, this means that ________ of the data will be within plus or minus 1 standard error. 
  A)  fewer than 68 percent 
  B)  68 percent 
  C)  greater than 68 percent 



13   Ceiling effects in a distribution tend to create: 
  A)  positive skewness 
  B)  negative skewness 
  C)  positive kurtosis 
  D)  negative kurtosis 



14   The greater the variance in the population, the ________ the confidence intervals around an estimate of the mean will be. 
  A)  wider 
  B)  narrower 



15   The standard error to the estimate of the mean is ________ related to the sample size. 
  A)  directly 
  B)  inversely 



16   The 95 percent confidence interval for an estimate is between plus or minus: 
  A)  1 standard error 
  B)  2 standard errors 
  C)  3 standard errors 
  D)  2 standard deviations 
  E)  3 standard deviations 



17   The greater the reliability of the measurement, the ________ the standard error of the estimate of the mean will be. 
  A)  greater 
  B)  lesser 



18   If the mean is 50 and the standard error of the estimate is 2, the 95 percent confidence interval is from: 
  A)  48 to 52 
  B)  46 to 54 
  C)  44 to 56 
  D)  42 to 58 



19   If the 68 percent confidence interval is from 94 to 106, the 99 percent confidence interval would be from: 
  A)  98 to 102 
  B)  96 to 104 
  C)  88 to 112 
  D)  82 to 118 



20   For the standard error of the estimate to be valid, ________ to be near zero. 
  A)  only the coefficient of skewness has 
  B)  only the coefficient of kurtosis has 
  C)  both the coefficient of skewness and kurtosis have 
  D)  neither the coefficient of skewness and kurtosis has 

