Match the items in List-I (Techniques of sampling) with that of List-II (characteristics of procedure). Choose appropriate code for your answer :

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Purposive sampling (also known as judgment, selective or subjective sampling) is a sampling technique in which researcher relies on his or her own judgment when choosing members of population to participate in the study.
        A multistage random sample is constructed by taking a series of simple random samples in stages. This type of sampling is often more practical than simple random sampling for studies requiring "on location" analysis, such as door-to-door surveys. In a multistage random sample, a large area, such as a country, is first divided into smaller regions (such as states), and a random sample of these regions is collected. In the second stage, a random sample of smaller areas (such as counties) is taken from within each of the regions chosen in the first stage. Then, in the third stage, a random sample of even smaller areas (such as neighborhoods) is taken from within each of the areas chosen in the second stage. If these areas are sufficiently small for the purposes of the study, then the researcher might stop at the third stage. If not, he or she may continue to sample from the areas chosen in the third stage, etc., until appropriately small areas have been chosen.
        Systematic sampling draws subjects at equal intervals along the list of subjects in the sampling frame.
        The first step in systematic sampling is to list all subjects in the sampling frame. From this list, obtain the sampling frame size (N). Next, decide how many subjects should be in the sample (sample size, n). The width of the interval (k) is then determined by dividing N by n(N/n). The first subject for the sample is randomly selected from the first k subjects on the sampling frame list. From this subject, proceed forward on the list, selecting every kth subject to be included in the sample.
        A stratified random sampling involves dividing the entire population into homogeneous groups which are called strata (singular is stratum). Random samples are then selected from each stratum.