Question

classify each of the sampling procedures below. sampling procedure a researcher studying a population of 1,000 might wish to choose a random sample of 50 people. first, each person is numbered 1 through 1,000. then, you generate a list of 50 random numbers, typically with a computer program, and the individuals assigned those numbers are the ones included in the sample. the population of study contains 2,000 students at a high school and the researcher wants a sample of 100 students, the students are put into list form and then every 20th student would be selected for inclusion in the sample. to ensure against any possible human bias in this method, the researcher selects the first individual at random. the researcher first organizes the population by college class and then selects appropriate numbers of freshmen, sophomores, juniors, and seniors. a studys target population is church members in the united states. there is no list of all church members in the country. the researcher, however, creates a list of churches in the united states, chooses a random sample of churches, and then obtains lists of members from those churches. *note: one of the options is cluster sampling which is a sampling method for selecting a random sample by dividing the population into groups and using simple random sampling to select a set of groups from which every object is included in the sample. such an option is called a distractor, and the correct answer can still be determined by elimination. question help: message instructor

Explanation:

1. Each individual has an equal chance of being selected, which is the characteristic of simple - random sampling.
2. Selecting every 20th student after a random start is a form of systematic sampling.
3. Organizing by college class and then selecting appropriate numbers from each class is stratified sampling as the population is divided into strata (college classes).
4. Sampling churches first and then members from the selected churches is cluster sampling as churches are considered clusters.

Answer:

1. Simple - random sampling
2. Systematic sampling
3. Stratified sampling
4. Cluster sampling