Scientists typically generate hypotheses through observations, existing research, and theoretical frameworks. However, one method that is not commonly used is making random guesses without any basis in prior knowledge or evidence. Effective hypothesis generation relies on systematic reasoning and empirical data rather than arbitrary speculation.
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".
a. conclusion b.hypothesis c. data d. measurement
Experimentation is a good way to test a hypothesis.
hypothesis
An experiment is performed to generate more data. If the data proves to not support the hypothesis the experiment was still useful. You could reproduce your experiment to see if it is performing the way it should. After you have confirmed the experiment is performing correctly you then could devise another experiment to further test your hypothesis or accept the result and revise your hypothesis.
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community.* Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
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".
scientist do to collect data or hypothesis,easy way was reaserch about a specific thing or doing an experimentation,observation,then their we have the proven hypothesis right...... Waka-waka_01
In science terms, a hypothesis can only be proven "not wrong". The way it works is that scientists, including the one who stated the hypothesis, try their hardest to demonstrate that the given hypothesis is wrong. If they are successful, then the hypothesis is discarded. If, after many tries, no one can prove the hypothesis is wrong, then it might attain the glorious status of a Theory. As an example, look at the hypothesis of global warming. Almost everyone is running around trying to prove it correct. There are very few following the true scientific process of trying to prove it wrong.
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community. * Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
Some scientists have theories and evidence that prove this hypothesis, but there's no way of knowing for sure.
Ted should make observations about the natural world.
a. conclusion b.hypothesis c. data d. measurement
Yes, scientists have lots of different hypotheses about why things are the way they are. A hypothesis is actually just an educated guess. (Say you put two pots of water on the stove, one with three cups of water and the other with half a cup. A hypothesis might be that the pot with half a cup will take less time to start boiling, or to reach a certain temperature.) To scientists, a theory is a hypothesis that has been supported by lots and lots of experiments. So when a scientist says they have a hypothesis - it means they have an educated guess, when they say they have a theory - it means they are pretty sure this is true. There are few absolutes in science.
Experimentation is a good way to test a hypothesis.
hypothesis
Null hypothesis of a one-way ANOVA is that the means are equal. Alternate hypothesis a one-way ANOVA is that at least one of the means are different.