1. Testability:
* A hypothesis must be capable of being tested through observation or experimentation.
* It needs to be formulated in a way that allows for the collection of data that can either support or refute the hypothesis.
2. Falsifiability:
* A hypothesis must be potentially disproven.
* This means that there must be possible outcomes of the experiment or observation that would contradict the hypothesis.
* A hypothesis that cannot be falsified is not scientific.
3. Precision:
* A hypothesis should be clear and specific, avoiding vague or ambiguous language.
* It should clearly define the variables being investigated and the relationship between them.
4. Based on Existing Knowledge:
* A hypothesis should not be arbitrary or random. It should stem from existing knowledge, observations, or previous research in the field.
* It should build upon or challenge existing theories or concepts.
5. Parsimonious:
* A hypothesis should be simple and straightforward, explaining the phenomenon with the least number of assumptions.
* A simpler hypothesis is generally preferred over a more complex one, as long as it adequately explains the phenomenon.
6. Empirical:
* A hypothesis should be based on observable and measurable phenomena.
* The data used to test the hypothesis must be objective and quantifiable.
Important Note: It's crucial to remember that a scientific hypothesis is not a proven fact. It's a proposed explanation that needs to be rigorously tested through scientific methods. Even if a hypothesis is supported by multiple studies, it can always be revised or rejected based on new evidence.
