a study was conducted to determine how many u...

a study was conducted to determine how many undergraduates at a university are familiar with a new financial aid program. there are too many students to conduct a census. the following sampling method is used to choose a representative sample of undergraduates to poll. start with the registrars alphabetical listing containing all undergraduates. randomly pick a number between 1 and 100, and count that far down the list. take that name and every 100th name after it. the sampling method illustrated in this survey is known as systematic sampling. complete parts (a) and (b) below.\n\nc. this model is a stratified sampling. each category is 100 names and from within each category one name has been randomly selected. simple random sampling does not use categories, everything else is carried out the same.\n\n(b) if 100% of the responding claimed that they were not familiar with the new financial aid program offered by the university, is this result more likely due to sampling variability or sample bias? explain.\n\na. sample bias. since only 1% of the population is ever going to be surveyed, the sample amount is too small. a larger sample size would better represent the undergraduate student body.\n\nb. sampling variability. the students sampled appear to be a representative cross - section of all the universitys undergraduates.\n\nc. sampling variability. chance error is unavoidable, because a sample is just an estimate of the population.\n\nd. sample bias. because some letters that begin names are more common than others, certain portions of the university are not being properly represented.

Answer

# Brief Explanations: Sampling bias occurs when the sampling method systematically excludes or over - represents certain parts of the population. In this case, using an alphabetical list means that names starting with more common letters may be over - or under - represented. Sampling variability refers to differences between samples due to chance. Since the issue here is related to the sampling method potentially not representing all parts of the university population properly (due to letter frequencies in names), it is sample bias. # Answer: D. Sample bias. Because some letters that begin names are more common than others, certain portions of the university are not being properly represented.