What is the difference between a hypothesis and a theory, and how does each function in the scientific method?

What is the difference between a hypothesis and a theory, and how does each function in the scientific method?

• A. A hypothesis is a proven fact, and a theory is a tentative guess that requires evidence.
• B. A hypothesis is a testable prediction about the relationship between variables used to guide experiments; a theory is a well-supported, widely tested explanation of observed phenomena that explains and predicts with a broad evidence base.
• C. A hypothesis and theory are the same, both being untested ideas.
• D. A hypothesis is a descriptive summary, while a theory is a set of laws that cannot be tested.

Answer: (B)

In science, a hypothesis is a specific, testable prediction about how two or more things are related. It’s a statement you can examine with experiments or observations, and it can be supported or refuted by the data you collect. This is the kind of claim that guides the design of a study: what you expect to find if your idea is true. A theory, on the other hand, is a well-supported, broad explanation that ties together many observations and laws. It’s not just a single guess; it’s a comprehensive framework that explains why phenomena occur and allows you to make predictions across a wide range of situations. Theories are repeatedly tested and refined as new evidence comes in, and they help scientists understand and anticipate how systems will behave in new contexts. In the scientific method, you start with a testable prediction to probe a question, gather data, and decide whether the results support your hypothesis. If enough evidence accumulates, hypotheses can contribute to the development of a theory. A theory, meanwhile, provides an overarching explanation that organizes the findings and makes reliable predictions beyond the specific experiments that supported it. Common misunderstandings aside, the best description is that a hypothesis is a testable prediction used to guide experiments, while a theory is a well-supported, broad explanation that explains and predicts with a wide evidence base.

In science, a hypothesis is a specific, testable prediction about how two or more things are related. It’s a statement you can examine with experiments or observations, and it can be supported or refuted by the data you collect. This is the kind of claim that guides the design of a study: what you expect to find if your idea is true.

A theory, on the other hand, is a well-supported, broad explanation that ties together many observations and laws. It’s not just a single guess; it’s a comprehensive framework that explains why phenomena occur and allows you to make predictions across a wide range of situations. Theories are repeatedly tested and refined as new evidence comes in, and they help scientists understand and anticipate how systems will behave in new contexts.

In the scientific method, you start with a testable prediction to probe a question, gather data, and decide whether the results support your hypothesis. If enough evidence accumulates, hypotheses can contribute to the development of a theory. A theory, meanwhile, provides an overarching explanation that organizes the findings and makes reliable predictions beyond the specific experiments that supported it.

Common misunderstandings aside, the best description is that a hypothesis is a testable prediction used to guide experiments, while a theory is a well-supported, broad explanation that explains and predicts with a wide evidence base.