Flashcards on Random Sampling for Population Studies
Random Sampling for Population Studies: Guide for Students
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Random Sampling Methods
10 cards
Card 1
Question: Why is random sampling important when investigating a population?
Answer: Random sampling helps ensure the sample accurately represents the whole population so conclusions drawn from the sample are valid.
Card 2
Question: What problem occurs if samples are taken from only one part of an area?
Answer: The results become biased and may not accurately represent the whole area.
Card 3
Question: How can you make sure sampling sites in an area are chosen without bias?
Answer: Use a method where every site has an equal chance of being chosen, such as selecting coordinates with a random number generator after dividing the are
Card 4
Question: Describe a simple procedure to randomly sample plant species in a field.
Answer: Divide the field into a grid, label the grid rows and columns with numbers, use a random number generator to pick coordinate pairs (e.g., (2,6)), and
Card 5
Question: When studying organism distribution or population size in an area, what sampling tools are mentioned?
Answer: Quadrats and transects.
Card 6
Question: Why is it usually not possible to study every member of a population?
Answer: Because studying an entire population is generally impractical or impossible, so samples must be taken instead.
Card 7
Question: How should people be selected for health data studies to estimate characteristics of a larger patient group?
Answer: People should be selected randomly—for example, assign all individuals numbers and use a random number generator to choose the sample.
Card 8
Question: Give an example workflow for randomly sampling people from a patient group of known size.
Answer: Identify all members (e.g., 270,196), assign each a number, use a random number generator to select sample individuals (e.g., #72,063; #11,822), then
Card 9
Question: What is the risk of using informal selection methods like 'eeny, meeny, miny, moe' for sampling?
Answer: Informal methods do not ensure randomness and can produce biased, unreliable data.
Card 10
Question: Summarize the main rule for any sampling used to estimate a population characteristic.
Answer: Sampling must be random so every member or site has an equal chance of selection, ensuring the sample accurately represents the whole population.