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Multiple Choice

What is the primary goal of testing a null hypothesis in research?

The idea behind null hypothesis testing is to treat the null as a statement about the population that can be evaluated with data. The goal is to determine whether the observed results are unlikely enough under that null that we have evidence to reject it. In other words, the purpose is to test the null and, if the data meet a chosen threshold of evidence, reject it; if not, we do not reject it. This reflects the practical reality that we cannot prove the null true—only fail to find enough evidence against it or show evidence for an alternative. This framing explains why the other options aren’t the aim: testing does not seek to prove the null true, describe the population, or confirm the researcher’s assumption. Instead, it uses data and a predefined significance level to decide whether the null should be rejected.

The idea behind null hypothesis testing is to treat the null as a statement about the population that can be evaluated with data. The goal is to determine whether the observed results are unlikely enough under that null that we have evidence to reject it. In other words, the purpose is to test the null and, if the data meet a chosen threshold of evidence, reject it; if not, we do not reject it. This reflects the practical reality that we cannot prove the null true—only fail to find enough evidence against it or show evidence for an alternative.

This framing explains why the other options aren’t the aim: testing does not seek to prove the null true, describe the population, or confirm the researcher’s assumption. Instead, it uses data and a predefined significance level to decide whether the null should be rejected.