SAMPLING AND SAMPLING DISTRIBUTIONS

A. Identify the type of sampling technique used by the researcher in each of the following situations: simple random sampling, systematic random sampling, stratified random sampling, or cluster random sampling. 1. The office clerk gave the researcher a list of 500 Grade 10 students. The researcher selected every 20 names on the list. 2. In a recent research that was conducted in a private school, the subjects of the study were selected by using the Table of Random Numbers. 3. A researcher interviewed people from each town in the province of Albay for his research on population. 4. A researcher is doing a research work on the students' reaction to the newly implemented curriculum in mathematics and interviewed every 10th student entering the gate of the school. 5. A researcher who is studying the effects of educational attainment on promotion conducted a survey of 50 randomly selected workers from each of these categories: high school graduate, with undergraduate degrees, with master's degree, and with doctoral degree. 6. A researcher selected a sample of n=120 from a population of 850 by using the Table of Random Numbers. 7. A researcher interviewed all top 10 Grade 1 1 students in each of 15 randomly selected private schools in Metro Manila. 8. A researcher randomly selected 10 barangays in a town for b study. She did this by writing the names of each barangays on a piece of paper, which she folded and put in a bowl then she draws 10 pieces of paper from the bowl. 9. A teacher asked her students to fall in line. He instructed one of them to select every 5" student on the line. 10. A researcher chose the subjects of her study by selecting every kth member of the population.Modified True or False Write True if the statement is true and if it is false underline the word/words that make the statement false. 1. In simple random sampling, every member of the population has the same chance of being selected for inclusion in the sample. 2. The systematic sampling technique is the most basic type of sampling technique. 3. Cluster sampling involves the selection of every kth element in the population until the desired number of elements in the sample is obtained. 4. Stratified sampling is a sampling technique in which the population is first divided into strata and then samples are randomly selected separately from each stratum. 5. A systematic sampling is a sampling technique in which a list of elements of the population is used as a sampling frame and the elements to be included in the desired sample are selected by skipping through the list at regular intervals