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you have read about reasons as to why we sample rather than working wit…

Question

you have read about reasons as to why we sample rather than working with entire populations. you have also now worked with a few sampling methods. for each method discussed, describe a scenario/example(it can be about anything you like) that properly demonstrates that methodology. simple random sampling: systematic sampling: stratified sampling:

Explanation:

Brief Explanations
  • Simple Random Sampling: Selecting participants for a survey from a large group of people (e.g., 1000 students in a school) by using a random number generator to pick 100 students. Each student has an equal chance of being selected.
  • Systematic Sampling: In a factory with 5000 products on a conveyor belt, every 50th product is selected for quality - control inspection. After randomly choosing a starting point (e.g., the 15th product), then products 15, 65, 115, etc., are inspected.
  • Stratified Sampling: A university wants to survey students' opinions on a new policy. The student population is divided into strata (e.g., freshmen, sophomores, juniors, seniors). Then, a proportionate number of students is randomly selected from each stratum. For example, if freshmen make up 25% of the student body, 25% of the sample is selected from freshmen.

Answer:

  • Simple Random Sampling: Selecting participants for a survey from a large group of people (e.g., 1000 students in a school) by using a random number generator to pick 100 students. Each student has an equal chance of being selected.
  • Systematic Sampling: In a factory with 5000 products on a conveyor belt, every 50th product is selected for quality - control inspection. After randomly choosing a starting point (e.g., the 15th product), then products 15, 65, 115, etc., are inspected.
  • Stratified Sampling: A university wants to survey students' opinions on a new policy. The student population is divided into strata (e.g., freshmen, sophomores, juniors, seniors). Then, a proportionate number of students is randomly selected from each stratum. For example, if freshmen make up 25% of the student body, 25% of the sample is selected from freshmen.