Random sampling is best described as what?

Study for the MTTC Exam efficiently. Master difficult topics with tailored quizzes and detailed explanations. Ensure your success!

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.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy