Which of the following statements is TRUE?
a. Noncoverage nonsampling error is best treated by increasing the sample size that is
selected.
b. Noncoverage nonsampling error is essentially a sampling frame problem, and if clear,
complete, up-to-date sampling frames exist, noncoverage is not likely to be a problem.
c. While noncoverage can be a source of bias, overcoverage is not. In fact,
overcoverage may improve estimates as it means that the sample size is larger than
initially planned at no increase in cost.
d. Noncoverage bias is essentially eliminated with quota samples.
e. All of the above statements are false.
Which of the following statements pertaining to discriminant analysis is FALSE?
a. The “hit rate” in a confusion matrix indicates the proportion of sample units correctly
classified by the classification decision rule.
b. When attempting to assess the contribution of each variable to the discriminant
function one should use the raw score weights.
c. The cutting score is the score that divides the mean discriminant scores.
d. A confusion matrix is a two way table that contrasts actual group membership with
predicted group membership.
e. The mean discriminant score can be calculated by substituting the mean of each
variable in the derived discriminant function.