2. Match the sampling method with its description. a. ______ Simple Random Sample b. ______ Stratified c. ______ Cluster d. ______ Convenience e. ______ Systematic i. sample is obtained by separating the population into non-overlapping groups and then obtaining a simple random sample from each group. ii. sample in which the data are easily obtained and not based on randomness iii. sample is obtained by selecting a member of the population and each member has the same likelihood of being selected. iv. sample is obtained by selecting individuals within a randomly selected collection or group of individuals. v. sample is obtained by selecting every kth individual from the population
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- Stratified: sample is obtained by separating the population into non-overlapping groups and then obtaining a simple random sample from each group. - Cluster: sample is obtained by selecting individuals within a randomly selected collection or group of Show more…
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A sampling method that chooses every kth member of a population is called: A "k" sample A judgment sample A clothing sample A systematic sample A stratified sample A simple random sample Sampling that randomly selects a sample using a sampling frame of the population: A non-probability sample A probability sample A lucky draw A phone book Sampling that selects a sample proportional to a few characteristics of a heterogeneous population is called: A convenience sample A stratified sample A systematic sample A non-probability sample
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When considering different sampling methods, cluster sampling includes the steps: identify individuals of the population that are easily accessible; obtain data from these individuals list the members of the population; use simple random sampling to select a starting point in the population; let k = (number of individuals in the population)/(number of individuals needed in the sample); choose every kth individual in the list starting with the one that was randomly selected divide the population into groups; use simple random sampling to identify a proportionate number of individuals from each group use simple random sampling to select a set of groups; every individual in the chosen groups is included in the sample
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