A good hypothesis should be clearly defined with no ambiguous terms. It should also have a strong possibility at being correct.
It must be possible to observe whether the hypothesis is true.
The hypothesis must be able to be proved true or false.
A hypothesis is an educated guess at what the outcome of the experiment will be. This means that the information must be tested to see if the predicted outcome is true or false, and there must be the possibility that it is can be proven false.
Nothing is true about a hypothesis. It is a inference that you are make about something that has to be proven by experimentation. If it is proved true a consistent amount of times then you have developed a theory.
A hypothesis is an educated guess as what you think will happen in an experiment. A hypothesis is what you think may happen- so it may or may not be right. After dealing with the experiment, you must create a conclusion. In the conclusion, describe what actually happened and why or why not your hypothesis proved to be true or not.
It must be possible to observe whether the hypothesis is true.
It must be possible to observe whether the hypothesis is true.
The hypothesis must be able to be proved true or false.
The hypothesis must be able to be proved true or false.
The hypothesis must be able to be proved true or false.
No. A hypothesis is just a a potential explanation or relationship that must be tested and then either verified, dismissed, or modified.
The conclusion of a controlled experiment must be based on the results obtained from the experiment itself. It should directly address the research question or hypothesis posed at the beginning of the experiment. The conclusion should also highlight any patterns, trends, or relationships observed in the data collected during the experiment.
A hypothesis is testable when we can determine experientially whether it is likely to be false or more likely to be true. That means we must be able to distinguish between it being true or false observationally. Thus, equally important to finding observations that confirm the hypothesis, we must be able to specify what it is we expect to see in the case that the hypothesis is false: the hypothesis must be falsifiable in order to be testable.It must be able to be proved right or wrong.
It must be proven from right to 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.
A falsifiable hypothesis is a hypothesis that must be set up so that it is possible to be proven false.
It must be possible to observe whether the hypothesis is true.