Sometimes we want to run a statistical test, but some of the datapoints that we would include, are missing. In such a circumstance, pair-wise exclusion:

will usually severely diminish the effective sample size

deletes only each pair of data points, if one half of the pair is missing

removes the whole list of data form the same participant with missing data

none of the other answer options for this quiz question is correct