In Karl Popper's terminology there must be a way to prove a hypothesis false. That is what it means when scientists say that a specific hypothesis is a "testable hypothesis".
capable of being proven false. testable
testable
It must be possible to observe whether the hypothesis is true.
It must be testable.
A testable hypothesis is a clear and specific statement that can be empirically investigated through observation or experimentation. It typically predicts a relationship between variables, allowing for measurable outcomes. For a hypothesis to be testable, it must be falsifiable, meaning there must be a possible outcome that could disprove it. This ensures that the hypothesis can be validated or refuted based on evidence.
A 'testable' hypothesis is one in which you are able to conduct experiments in able to prove right or wrong.
A scientific theory or hypothesis must be able to make predictions that can be tested. It must be possible to design an experiment so that there is one outcome if the hypothesis is true and a different outcome if it is false. This is what is meant by saying that a hypothesis is testable or falsifiable. If such as experiment is carried out and the outcome is not as predicted then the hypothesis must be rejected and replaced by an alternative hypothesis - or a modified version.
capable of being proven false. testable
testable
It must be possible to observe whether the hypothesis is true.
It must be testable.
It must be testable.
A testable hypothesis is one that can be proven true or false through empirical observation or experimentation. It must be specific and measurable to allow for objective testing, ensuring that the results can either support or refute the hypothesis. Developing a testable hypothesis involves proposing a clear cause-and-effect relationship that can be studied and analyzed to draw conclusions.
A testable hypothesis is a clear and specific statement that can be empirically investigated through observation or experimentation. It typically predicts a relationship between variables, allowing for measurable outcomes. For a hypothesis to be testable, it must be falsifiable, meaning there must be a possible outcome that could disprove it. This ensures that the hypothesis can be validated or refuted based on evidence.
It must be possible to observe whether the hypothesis is true.
"A hypothesis is a proposed answer to a question. To answer the question raised by your observations, the hypothesis must be testable." it means that you need to be able to prove that your hypothesis is true or not by creating an experiment and collect/analyze the data
so it can be proven