Used to test hypothesis

Used to test hypothesis

• A. Experiment
• B. Observation
• C. Data collection
• D. Survey

Answer: (A)

Testing a hypothesis relies on actively manipulating variables and observing the results under controlled conditions. An experiment fits this best because you can change one factor (the independent variable), keep others the same, and compare outcomes to a baseline or control. This setup helps establish cause-and-effect relationships and allows for replication to confirm findings. Observation simply records what happens without changing conditions, so it can reveal patterns but not prove that one factor caused another. Data collection is broader and includes information from various sources, not necessarily with controlled manipulation. Surveys collect responses from people and are great for gauging opinions or associations, but they often struggle to establish causality due to lack of experimental control and potential biases. So, for testing a hypothesis directly and determining causality, an experiment is the most appropriate choice.

Testing a hypothesis relies on actively manipulating variables and observing the results under controlled conditions. An experiment fits this best because you can change one factor (the independent variable), keep others the same, and compare outcomes to a baseline or control. This setup helps establish cause-and-effect relationships and allows for replication to confirm findings.

Observation simply records what happens without changing conditions, so it can reveal patterns but not prove that one factor caused another. Data collection is broader and includes information from various sources, not necessarily with controlled manipulation. Surveys collect responses from people and are great for gauging opinions or associations, but they often struggle to establish causality due to lack of experimental control and potential biases.

So, for testing a hypothesis directly and determining causality, an experiment is the most appropriate choice.