Random sampling is best described as what?

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Multiple Choice

Random sampling is best described as what?

Explanation:
Random sampling means giving each person in the population an equal chance of being chosen. This equal probability helps prevent selection bias and makes the sample representative so conclusions can apply to the whole group. The description that selects only the first n individuals isn’t random and introduces bias. The idea that random sampling increases bias is opposite to its purpose, which is to minimize bias. Stratifying by income is a different approach (stratified sampling) that groups people before sampling, rather than ensuring equal chance for everyone.

Random sampling means giving each person in the population an equal chance of being chosen. This equal probability helps prevent selection bias and makes the sample representative so conclusions can apply to the whole group. The description that selects only the first n individuals isn’t random and introduces bias. The idea that random sampling increases bias is opposite to its purpose, which is to minimize bias. Stratifying by income is a different approach (stratified sampling) that groups people before sampling, rather than ensuring equal chance for everyone.

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