Question

(CO 1) You need to study the satisfaction of customers of a specific restaurant. You decide to randomly select one customer at each table. This would most closely describe which type of sampling technique?

Stratified

Systematic

Random

Cluster

Answer 1

You need to study the satisfaction of customers of a specific restaurant. You decide to randomly select one customer at each table. In stratified sampling, the population is divided into groups and within each group, a probability sample is selected. The groups are called strata. In systematic random sampling, from the list of population, we randomly select the first sample element from the first k elements on the population list. After that, we select every kth element on the list. In simple random sampling, all possible samples are equally likely to occur. In cluster sampling, every member of the population is assigned to one, and only one group. Each group is called a cluster. A sample of cluster is chosen, using a probability method. In this sampling, the sample includes elements only from sampled clusters. Whereas, in stratified sampling, the sample includes elements from each stratum. The random selection of one customer at each table is a stratified sampling. Here, the number of customers visiting to a specific restaurant are divided into tables and within each table, a customer is selected. Here, the sample includes customers from each table. Therefore, option a is correct.