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  1. Items for a statistical sample must be selected randomly from the population.

  2. Although con dence interval calculations can be based on probability tables of hyper-geometric distributions, we will use a more common approach that will apply to many sampling situations.

  3. Randomly (with equal probability) select an item, record it, and discard it Example: draw cards one by one from a deck without replacement. This technique is the simplest and most often used sampling …

  4. A sample of size n from a population of size N is obtained through simple random sampling if every possible sample of size n has an equally likely chance of occurring.

  5. What type of Sampling? A teacher puts students' names in a hat and chooses without looking to get a sample of students. Every member has an equal chance of being included in the sample. Why it's …

  6. What is simple random sampling in scientific research? How can researchers frame simple random sampling? What are the inherent benefits and drawbacks of simple random sampling in scientific …

  7. Chapter 2 SIMPLE RANDOM SAMPLING Simple random sampling (SRS) provides a natural starting point for a discussion of probability sampling methods, not because it is widely used, because it is …