Question

If you want to be able to infer causality from your study and say that your independent variable is causing changes in your dependent variable then you should?

Answer 1

If you want to be able to infer causality from your study and say that your independent variable is causing changes in your dependent variable then you should "use a random sample of the population."

What is simple random sample?

A simple random sample is a subsection of a statistical population in which everyone has an equal chance of being selected. A simple random sample is intended to represent a group in an unbiased manner.

Some key features regarding the simple random sample are-

• A simple random sample selects a small, random subset of the population to depict the entire set of data, with each member having an equal chance of being chosen.
• Using methods such as lotteries or random draws, researchers can generate a simple random sample.
• A sampling error may occur when a simple random sample fails to accurately represent the population it is meant to represent.
• Simple random samples are created by allocating sequential values to every item in a population and then selecting those values at random.
• Simple random sampling differs from systematic sampling, stratified sampling, and cluster sampling in its sampling approach.

To know more about the simple random sample, here

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