How does a hypothesis contribute to a scientific experiment?

How does a hypothesis contribute to a scientific experiment?

• A. It serves as a definitive answer to the research question
• B. It provides a testable prediction that helps guide the investigation
• C. It eliminates the need for data collection
• D. It summarizes the entire experiment

Answer: (B)

A hypothesis plays a critical role in the scientific method by offering a testable prediction that directs the course of the experiment. By formulating a hypothesis, researchers set a specific expectation about the relationship between variables. This prediction is based on existing knowledge and observations, allowing scientists to design experiments that will either support or refute the hypothesis. When conducting an experiment, the hypothesis provides a foundation for developing procedures, selecting variables, and determining what data should be collected. This structured approach enhances the clarity of the research and supports the overall goal of drawing meaningful conclusions based on empirical evidence. The ability to test predictions is essential in science, as it leads to deeper understanding and potential advancements in knowledge. In contrast, while a hypothesis might eventually contribute to a summary or conclusion, it is not a definitive answer nor does it eliminate the need for data collection; instead, it encourages data collection to validate or challenge the prediction made.

A hypothesis plays a critical role in the scientific method by offering a testable prediction that directs the course of the experiment. By formulating a hypothesis, researchers set a specific expectation about the relationship between variables. This prediction is based on existing knowledge and observations, allowing scientists to design experiments that will either support or refute the hypothesis.

When conducting an experiment, the hypothesis provides a foundation for developing procedures, selecting variables, and determining what data should be collected. This structured approach enhances the clarity of the research and supports the overall goal of drawing meaningful conclusions based on empirical evidence. The ability to test predictions is essential in science, as it leads to deeper understanding and potential advancements in knowledge.

In contrast, while a hypothesis might eventually contribute to a summary or conclusion, it is not a definitive answer nor does it eliminate the need for data collection; instead, it encourages data collection to validate or challenge the prediction made.