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Activity 1. Determine the Sampling Procedure Directions: Identify the sampling procedure used in each given situation. Write your answer on the space provided and then explain your choice. Sample Situation Sampling Justification Procedure 1. Alex's target population for his study are the employees of hotels in Mindanao. Since there are too many employees in these establishments, he randomly selected ten hotels. And then he considered all employees as participants in his study. 2. Dianne wants to know if the new learning modalities in the first semester affects the academic performance of senior high students. He took all the lists of all students in her school and selected every 6" name to be part of her study. 3. Faye wants to survey all the parents in Cagayan de Oro who opt to enroll their elementary children to an online class. All in all there 26,000 parents. Faye decided to have 450 from the target population. Probability Sampling in Quantitative Research Simple Random Sampling. It is a way of choosing individuals in which all members of the accessible population are given an equal chance to be selected. There are various ways of obtaining samples through simple random sampling. These are fish bowl technique, roulette wheel, or use of the table of random numbers. This technique is also readily available online. Visit this link https://www.randomizer. org/ to practice. Stratified Random Sampling. The same with simple random sampling, stratified random sampling also gives an equal chance to all members of the population to be chosen However, the population is first divided into strata or groups before selecting the samples. The samples are chosen from these subgroups and not directly from the entire population. This procedure is best used when the variables of the study are also grouped into classes such as gender and grade level. You can simply follow the steps from this given example: A population of 600 Junior High School students includes 180 Grade 7, 160 Grade 6, 150 Grade 9, and 110 Grade 10. If the computed sample size is 240, the following proportionate sampling will be as follows. The number of members per subgroup is divided by the total accessible sample size. The percentage result of members per subgroup will be multiplied from the computed total sample size. After obtaining the sample size per strata, then simple random sampling will be done for the selection of samples from each group. Sample Size per Subgroups 180/600 30x 240 72 Grade 7 students 160/600 = .27x 240 65 Grade 8 students 150/600 = 25x 240 60 Grade 9 students 110/600 = .18x 240 E 43 Grade 10 students 100% 240 respondents Cluster Sampling. This procedure is usually applied in large-scale studies, geographical spread out of the population is a challenge, and gathering information will be very time-consuming. Similar to stratified random sampling, cluster sampling also involves grouping of the population according to subgroups or clusters. It is a method where multiple clusters of people from the chosen population will be created by the researcher in order to have homogenous characteristics. For example, a researcher would like to interview of all public senior high school students across Mindanao. As a researcher cluster will be selected to satisfy the plan size. In the given example, the first cluster can be by region, the second cluster can be by division, and the third cluster can be by 11 17 district. Sample Another way of doing cluster sampling is (2 clusters) Cluster Population illustrated on the figure on the right side. https/bit.ly/2UTiZz Systematic Sampling. This procedure is as simple as selecting samples every nith (example every 2"d, 5") of the chosen population until arriving at a desired total number of sample size. Therefore the selection is based on a predetermined interval. Dividing the population size by the sample size, the interval will be obtained. For example, from a total population of 75, you have 25 samples; using systematic sampling, you will decide to select every 3's person on the list of individuals.

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