What is the difference between a research question and a hypothesis?

What is the difference between a research question and a hypothesis?

• A. A research question asks what is being investigated; a hypothesis is a testable prediction about relationships between variables.
• B. A hypothesis asks what is being investigated; a research question is a guess.
• C. They are the same.
• D. Hypotheses are never used in quantitative research.

Answer: (A)

The main concept being tested is how a research question differs from a hypothesis in research design. A research question defines what you want to investigate—it's an open-ended inquiry about phenomena, relationships, or effects that guides the study without asserting a specific outcome. A hypothesis, by contrast, is a testable prediction about the relationship or difference between variables, grounded in theory or prior evidence, and it provides a statement you can test with data. For example, you might ask, “What is the relationship between study time and exam performance among undergraduates?” That question sets up the investigation. A hypothesis would translate that into a specific claim you can test, such as “Longer study time is associated with higher exam scores,” or “there is a positive relationship between study time and exam performance.” This distinction matters because research questions steer what you explore, while hypotheses offer a concrete, testable statement to evaluate with data. The other options flip roles or claim they are the same, and they also misstate the use of hypotheses in quantitative research—hypotheses are indeed standard tools in quantitative work, not rare or inappropriate.

The main concept being tested is how a research question differs from a hypothesis in research design. A research question defines what you want to investigate—it's an open-ended inquiry about phenomena, relationships, or effects that guides the study without asserting a specific outcome. A hypothesis, by contrast, is a testable prediction about the relationship or difference between variables, grounded in theory or prior evidence, and it provides a statement you can test with data.

For example, you might ask, “What is the relationship between study time and exam performance among undergraduates?” That question sets up the investigation. A hypothesis would translate that into a specific claim you can test, such as “Longer study time is associated with higher exam scores,” or “there is a positive relationship between study time and exam performance.”

This distinction matters because research questions steer what you explore, while hypotheses offer a concrete, testable statement to evaluate with data. The other options flip roles or claim they are the same, and they also misstate the use of hypotheses in quantitative research—hypotheses are indeed standard tools in quantitative work, not rare or inappropriate.