Best Answer

To prove the hypothesis.

To disprove the hypothesis.

Q: What are two possible outcomes to prove an experiments hypothesis?

Write your answer...

Submit

Still have questions?

Continue Learning about Statistics

Your hypothesis is supported by the data. You cannot prove a hypothesis because somebody may do some other experiments and disprove it eventually. You can only disprove a hypothesis or indicate that it is supported by the data.

3 + 3 + 3 + 3 + 3 = 15 total possible outcomes. You can 'prove' this by laying out a table of possibles where a user might tick the result of each game..... Match....1....2....3....4....5 Win......._...._...._...._...._ Lose......_...._...._...._...._ Draw....._...._...._...._...._

Yes, Research can be undertaken without framing a hypothesis. The justification is in case of explanatory research, where the aim of your research is not to prove or disprove something, but to undertake an in depth study and go on exploring the investigation !!!!

When we state that the data analysis suggests that we "Reject the null hypothesis" we are stating that the sample statistic is sufficiently different from our assumed value of the population that it is unlikely to be explained by chance. If we use for example, that under the null hypothesis that engineers make on the average $120,000 per year. If we consider that the test statistic (size n) is normally distributed, we can use a two-tail test with an level of significance "alpha" to identify the lower and upper rejection zones on the normal distributon. If the test statistic falls in the non-rejection zone, we state that the "null hypothesis is not rejected." There are many good websites on hypothesis testing. Wikipedia provides a good summary of controversy on hypothesis testing. I note that some of the controversy stems from the idea that hypothesis testing will prove or validate population parameters, which is really beyond the scope of hypothesis testing theory. http://en.wikipedia.org/wiki/Statistical_hypothesis_testing A second way to determine whether the null hypotheis is to calculate p-values. For this, please see: http://en.wikipedia.org/wiki/P-value

A strong positive correlation does not prove causation. People only get sunburned during daylight hours. Sundials only work during daylight hours. Therefore sundials cause sunburns. The above sentences show how absurd such predicate thinking could be. Simply because two events usually occur at the same time does not mean they are related. One man found a perfect correlation between the price of whiskey and Chicago school teachers' salaries. No possible relationship could possibly exist except the rate of prosperity and inflation. Causation is difficult to prove.

Related questions

Not technically, you can disprove it. And you can narrow the probability of the null hypothesis but proof by experimentation alone is not possible.

An experiment can prove or disprove a hypothesis.

It needs one counter example.Facts.

It can be proven, you have to do at least 3 experiments to prove your hypothesis.

conducting experiment

The question is very poorly specified so this answer is simply a wild guess at what the questioner might want. Three possible outcomes of any research, designed to test some hypothesis, are: (a) evidence in support of the hypothesis; (b) evidence disproving the hypothesis; or (c) evidence that can neither prove (support) nor disprove the hypothesis.

A 'testable' hypothesis is one in which you are able to conduct experiments in able to prove right or wrong.

swag

Your hypothesis is supported by the data. You cannot prove a hypothesis because somebody may do some other experiments and disprove it eventually. You can only disprove a hypothesis or indicate that it is supported by the data.

Only when experiments are planed, carried out and analyzed can we know if our hypothesis is true and our methods are reliable. Oncethis is achieved, repeating experiments prove validity.

Scientists were expected to conduct experiments to prove / disprove their hypothesis and theories.

They set out to test a hypothesis by using experiments and controls. They then adjust the experiments and run the tests again until they either prove or disprove it.