Question 1 Maggie wanted to do a study of women who had participated in extramarital affairs. Since there is no sampling frame listing all such women, she visited a women's group and asked for volunteers among those who had participated in an affair. She then asked each of those women for the names of other possible study participants. Maggie was using which design? a. systematic sampling b. simple random sampling c. purposive sampling d. quota sampling e. snowball sampling
Question 2 What is the unit about which information is collected in a sample, and that provides the basis of analysis? a. element b. EPSEM c. population d. parameter e. study population Question 3 Becky determined that the mean age of all students at her community college, the population she wished to study, was 22.3 years old. This value is known as a/an a. inference b. parameter c. statistic d. confidence level e. confidence interval
Question 4 Chauncey determined that 50 percent of students at his school voted Liberal in the last election, with a sampling error (also known as standard error) of 5 percent. What is the confidence interval for 95 percent confidence level? a. 45 to 55 percent b. 40 to 60 percent c. 35 to 45 percent d. 35 to 55 percent e. 40 to 55 percent
Question 5 Unlisted telephone numbers create a special problem for accurate a. informants b. parameters c. sampling units d. sampling frames e. confidence intervals Question 6 Periodicity is a particular problem for which sampling design? a. cluster b. simple random c. stratified d. systematic e. snowball
Question 7 Stratification is based on which principle? a. Disproportionate sampling reduces sampling error. b. A large sample produces a smaller sampling error. c. It is better to select multiple smaller samples than one large sample. d. The greater the proportion of a population selected, the lesser the error. e. A homogeneous population produces samples with smaller sampling errors. Question 8 Quota sampling is most like the probability sampling technique of a. stratified sampling b. snowball sampling c. systematic sampling d. simple random sampling e. multistage cluster sampling
Question 9 The key to probability sampling is a. referral b. weighting c. stratification d. random selection e. disproportionality
Question 10 When a list of all the members of a population does not exist, the probability sampling technique that is most appropriate would be a. stratified sampling b. purposive sampling c. systematic sampling d. simple random sampling e. multistage cluster sampling
