no, because a hypothesis must be testable. if it were "theoretical", it would simply be a theory. i hope this is what you were looking for!
A question is a question. A hypothesis is a theoretical answer, but one which has not been tested.
When theoretical physicists work on equations and don't test their hypothesis, experimental physicists test their hypothesis and verify their conclusion. Usually theoretical physicists work on things like black holes and string-theory when experimental physicists work on Newtonian laws.
The hypothesis of a volcano is the relationship between the magma and earth's mantle.
Yes, because you never know what could happen.
A hypothesis is a model or in other words a design of experiments to be tested with some theoretical basis and requires testing to verify the expected course
A hypothesis is a model or in other words a design of experiments to be tested with some theoretical basis and requires testing to verify the expected course
in my theoretical hypothesis i have discovered that YES monkeys can fly. found commonly in Mississippi.
A hypothesis is a prediction on what you think will happen. For experiments on insects being attracted to light or heat, a hypothesis could be that insects are attracted to light over heat.
The Dirac Large Number Hypothesis is significant in theoretical physics because it suggests a possible connection between the fundamental constants of nature, such as the speed of light and the gravitational constant. This hypothesis has sparked further research and discussions about the underlying structure of the universe and the relationships between different physical quantities.
A correct or good hypothesis includes if then and because. A hypothesis must be a possible answer and must be testable
"A good hypothesis for crystal eggs could be that the crystals will form more quickly and grow larger in size when placed in a saturated solution compared to a less concentrated solution."
When there is a good theoretical model for the experiment and the model allows you to identify all the factors affecting the outcome and determine their impact on the outcome. Even if you cannot identify all the factors, you can still use theoretical probability but the predictions from your model will be less reliable. Econometrics is a good example of using theoretical probability based on an incomplete understanding of the model.