SW 650 Final Exam Newest With
Questions And Answers
2026/2027|100% Correct
systemic sampling - ANSWER>every xth element in the total list is chosen for inclusion in the sample, to
guard against bias, select the first element at random
stratified sampling - ANSWER>ensures that appropriate numbers of elements are drawn from
homogenous subsets of that population
disproportionate stratified sampling - ANSWER>gives cases from specified small subgroups a
disproportionately better chance of being selected than of other larger subgroups
probability theory - ANSWER>consider that your sample is just one of infinite samples of the same size
that could be drawn from the same population, you assess the variable mean from each sample, you
randomly sample over and over from the same population (replacing as you go), you plot the means on a
graph, and most averages will converge around some central value, as we approach infinity, the
, distribution of averages from our samples will take the shape of a "bell curve", the average of the
averages would be the "true population parameter"
sampling error - ANSWER>different between the true population value (parameter) and our sample
(statistic)
size in sampling error - ANSWER>the greater your sample size, the smaller your sampling error
multistage/area random cluster sampling - ANSWER>used when it is impossible of impractical to
randomly sample a population, involves a process of sequential random selection of smaller and smaller
units of analysis stopping at the smallest unit you target
self-administered questionnaires - ANSWER>respondents complete the questionnaires themselves
self-mailing questionnaires - ANSWER>require no return envelope, when the questionnaire is folded a
particular way, the return address appears on the outside (anything you can do to make the job of
completing and returning the questionnaire easier will improve your study)
Questions And Answers
2026/2027|100% Correct
systemic sampling - ANSWER>every xth element in the total list is chosen for inclusion in the sample, to
guard against bias, select the first element at random
stratified sampling - ANSWER>ensures that appropriate numbers of elements are drawn from
homogenous subsets of that population
disproportionate stratified sampling - ANSWER>gives cases from specified small subgroups a
disproportionately better chance of being selected than of other larger subgroups
probability theory - ANSWER>consider that your sample is just one of infinite samples of the same size
that could be drawn from the same population, you assess the variable mean from each sample, you
randomly sample over and over from the same population (replacing as you go), you plot the means on a
graph, and most averages will converge around some central value, as we approach infinity, the
, distribution of averages from our samples will take the shape of a "bell curve", the average of the
averages would be the "true population parameter"
sampling error - ANSWER>different between the true population value (parameter) and our sample
(statistic)
size in sampling error - ANSWER>the greater your sample size, the smaller your sampling error
multistage/area random cluster sampling - ANSWER>used when it is impossible of impractical to
randomly sample a population, involves a process of sequential random selection of smaller and smaller
units of analysis stopping at the smallest unit you target
self-administered questionnaires - ANSWER>respondents complete the questionnaires themselves
self-mailing questionnaires - ANSWER>require no return envelope, when the questionnaire is folded a
particular way, the return address appears on the outside (anything you can do to make the job of
completing and returning the questionnaire easier will improve your study)
