No, accepting a hypothesis is not the same as proving it to be true. Accepting a hypothesis typically means that it is considered plausible based on available evidence, but it has not undergone rigorous testing or validation to confirm its truth. Proving a hypothesis requires systematic experimentation and analysis that yields consistent results, establishing it as a reliable explanation of a phenomenon. In science, hypotheses remain subject to revision or rejection as new evidence emerges.
It is rare and difficult to prove a hypothesis true or false through experimentation. While it is typically easy to prove something completely false, proving it true is another story.
it is a educated guessANS2:You can answer the hypothesis by either proving it false or by failing to prove it false. One must never claim to have proven an hypothesis true. Truth does not exist in science. You can find truth in logic, mathematics, and religion.
No. Not being able to prove something is NOT the same as it being true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
A hypothesis is what someone suggests could be true, and then tests it to see whether or not it is true. A law is what has been proven to be true.
It is rare and difficult to prove a hypothesis true or false through experimentation. While it is typically easy to prove something completely false, proving it true is another story.
true
true
it is a educated guessANS2:You can answer the hypothesis by either proving it false or by failing to prove it false. One must never claim to have proven an hypothesis true. Truth does not exist in science. You can find truth in logic, mathematics, and religion.
No. Not being able to prove something is NOT the same as it being true.
A hypothesis is a statement.
This statement is correct because a hypothesis is a proposed explanation that has not been validated through experimentation and evidence. Scientific inquiry aims to test and gather evidence to support or reject a hypothesis, rather than proving it true. It is always possible for new evidence or data to emerge that could challenge or refine a hypothesis.
So they know not to make the same mistake again
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
Some researchers say that a hypothesis test can have one of two outcomes: you accept the null hypothesis or you reject the null hypothesis. Many statisticians, however, take issue with the notion of "accepting the null hypothesis." Instead, they say: you reject the null hypothesis or you fail to reject the null hypothesis. Why the distinction between "acceptance" and "failure to reject?" Acceptance implies that the null hypothesis is true. Failure to reject implies that the data are not sufficiently persuasive for us to prefer the alternative hypothesis over the null hypothesis.
No. A hypothesis is an educated guess, based on observation. Usually, a hypothesis can be supported or refuted through experimentation or more observation. A hypothesis can be disproven, but not proven to be true.